Find Your Dream Data Scientist Job in India

About ADM:

We are one of the world's largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.

About ADM India Hub:

At ADM, we have long recognized the strength and potential of India's talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India.

At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.

The Senior Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes.

Sr Data Scientist

Position Summary:

Key Responsibilities:

• Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives.
• Utilize traditional AI / data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes.
• Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc.
• Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions.
• Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration.
• Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems.
• Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems.
• Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks.
• Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact.
• Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

Standard Job Requirements:

• Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development; and JavaScript.
• MLOps experience.
• Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec, Containerization tools (understanding) etc.
• Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark).
• Strong understanding of both supervised and unsupervised learning models and techniques.
• Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs.
• Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value.
• Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment.

Educational Requirements:

• Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. A master's degree or Ph.D. is a plus.
• 7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes.
• ADM is an EOE for minorities, females, protected veterans and individuals with a disability.
• Before applying for an exempt, non-exempt or hourly job opportunity, you are expected to initiate a discussion and share your intentions with your supervisor.
• If you've been in your current position for more than 18 months, supervisor approval is not required.
• If you've been in your current position for less than 18 months, verbal supervisor approval is required.

About the Company

InCommon is hiring on behalf of a US-based construction robotics company building software and robotic systems to automate home construction. Their platform converts architectural plans into precise digital models and robot-ready instructions using computer vision, optimization, and computational geometry. Founded in 2020 and headquartered in North Carolina, the company operates at the intersection of AI, math, and robotics, with the goal of making home construction faster, more scalable, and more reliable.

What you'll do

Develop and optimize the "heavy math" engine that converts plan-derived inputs into a precise 3D representation of how a house would actually be built, using geometry + optimization at scale.

Responsibilities

• Build constrained optimization and simulation models (LP/MIP/CP) for structure generation
• Implement robust 3D computational geometry modules and validation checks
• Performance engineer C++ code paths for large, complex plans (runtime and memory)
• Extend model coverage for edge cases and diverse home designs while maintaining correctness

Must-haves

• Operations Research depth (LP, MIP, constraint programming), strong modeling instincts
• C++ with performance engineering experience
• Strong computational geometry background (2D/3D)
• Ability to reason about correctness, constraints, and failure modes

Nice-to-haves

• Experience with OR-Tools / Gurobi / CPLEX / CBC (or similar)
• Familiarity with building structures, framing logic, or AEC tooling
• HPC mindset (profiling, vectorization, parallelism where appropriate)

About the Company

Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that have consistently driven measurable ROI for our clients. With a global footprint spanning 30+ countries, Straive serves hundreds of clients, supported by a team of 18,000+ seasoned professionals in data, analytics, AI, and operations. Our offices are strategically located across India, the Philippines, the USA, Nicaragua, Vietnam, the UK, Canada, and Singapore, where our headquarters is based.

About the Role

As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using large language models (LLMs), vector databases, and cloud-based infrastructure. You'll be responsible for building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications.

Responsibilities

• Develop, fine-tune, and deploy LLM-based applications using frameworks like LangChain, Semantic Kernel, or LlamaIndex.
• Design and implement RAG pipelines using vector databases (Azure Cognitive Search, Pinecone, FAISS, Weaviate).
• Build chatbots, copilots, and content generation tools using OpenAI, Azure OpenAI, or Hugging Face models.
• Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions.
• Collaborate with cross-functional teams to identify and operationalize GenAI use cases.
• Implement monitoring, evaluation, and prompt optimization workflows.
• Manage prompt engineering, model selection, and performance tracking in production.

Qualifications

Work Experience: 3-8 Years (At least 2 years or more in AI Engineering)

Location: Gurgaon/Noida/Bengaluru/Hyderabad/Chennai

Work Mode: Hybrid

Notice Period: 30 days maximum

About the Company

Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that have consistently driven measurable ROI for our clients. With a global footprint spanning 30+ countries, Straive serves hundreds of clients, supported by a team of 18,000+ seasoned professionals in data, analytics, AI, and operations. Our offices are strategically located across India, the Philippines, the USA, Nicaragua, Vietnam, the UK, Canada, and Singapore, where our headquarters is based.

About the Role

As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using large language models (LLMs), vector databases, and cloud-based infrastructure. You'll be responsible for building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications.

Responsibilities

• Develop, fine-tune, and deploy LLM-based applications using frameworks like LangChain, Semantic Kernel, or LlamaIndex.
• Design and implement RAG pipelines using vector databases (Azure Cognitive Search, Pinecone, FAISS, Weaviate).
• Build chatbots, copilots, and content generation tools using OpenAI, Azure OpenAI, or Hugging Face models.
• Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions.
• Collaborate with cross-functional teams to identify and operationalize GenAI use cases.
• Implement monitoring, evaluation, and prompt optimization workflows.
• Manage prompt engineering, model selection, and performance tracking in production.

Qualifications

Work Experience: 3-8 Years (At least 2 years or more in AI Engineering)

Location: Gurgaon/Noida/Bengaluru/Hyderabad/Chennai

Work Mode: Hybrid

Notice Period: 30 days maximum

Job Title:Data Scientist

Exp:1-8 yrs Exp

Work Mode:4 days WFO,1 days WFH

Skills:Machine Learning/ML Models, SQL, Python, Deep Learning, Large Language Model/LLM/Generative AI/Gen AI, TensorFlow/Keras/PyTorch/Scikit-learn/LightFM/RecBole/LangChain

Notice Period:0-60 days

Location:Bengaluru(Manayata Tech Park)

Job Role : Sr. Data Scientist

Location : Hyderabad

We are looking for a Sr. Data Scientist - Healthcare to join our Data Science & Analytics Team and build next-generation ML-driven healthcare solutions for US & global markets.

What You'll Do

Advanced Modeling & AI

Develop high-performing predictive healthcare models using ML & AI

Apply statistical modeling, optimization, GLM, Decision Trees, Boosting, SVM, Regression, Clustering

Perform model training, hyperparameter tuning & evaluation

Validate and enhance healthcare data products

Product Development & Operationalization

Collaborate with product teams & stakeholders to define data sources, algorithms & KPIs

Deploy ML models into production environments

Build ETL pipelines, data transformation & scalable modeling workflows

Support engineering & delivery teams for seamless integration

Drive automation and process improvements

Partner with agencies for closed-loop measurement solutions

Governance & Quality

Monitor model performance & optimize continuously

Upgrade and maintain existing healthcare data products

Ensure HIPAA compliance & strong data governance practices

Required Skills & Experience

3+ years in Healthcare domain with healthcare data exposure

5-7 years building & deploying ML models in production

Strong experience in ML algorithms & statistical modeling

Expertise in Python, R, Scala, Spark/PySpark, H2O

Experience in AWS, Google AI/ML Platform, Snowflake, Databricks

Hands-on ETL, data pipelines & big data environments

Strong communication skills (technical & non-technical audiences)

Bachelor's Degree in quantitative field (or 8-10 years relevant experience)

What Sets You Apart

Deep Learning / Neural Networks expertise

Docker & Kubernetes-based model deployment

Airflow / KubeFlow experience

Master's Degree in Data Science / Statistics / Engineering

Consulting/Healthcare analytics background

Experience with H2O or similar ML platforms

Years Of Experience: 12 to 15 Years

Role: Data Scientist

Education: B.Tech OR M.Tech, B.E, Phd

Roles and Responsibilities:

Lead the design, development, and deployment of advanced AI and data science methodologies, including NLP, Machine Learning, and Deep Learning, to deliver scalable solutions for complex business challenges.

Oversee the end-to-end lifecycle of large-scale data science and AI projects, from data acquisition and feature engineering to model development, deployment, and post-production monitoring, ensuring measurable business value.

Provide strategic direction to the data science roadmap, identifying high-impact opportunities for innovation and guiding the team toward delivering actionable, production-ready insights.

Represent the data science team in executive forums, steering committees, and client engagements, advocating for data-driven decision-making and championing enterprise-wide adoption of applied AI solutions.

Collaborate with cross-functional teams-including product, engineering, and business stakeholders-to conceptualize, prototype, and implement scalable AI models across areas such as Natural Language Processing, Predictive Analytics, Recommender Systems, and Large Language Models (LLMs).

Design robust experimentation frameworks, validate algorithms, and ensure compliance with responsible AI practices around fairness, transparency, and interpretability.

Stay abreast of emerging developments in AI/ML, data engineering, and MLOps, integrating state-of-the-art techniques into business applications and contributing thought leadership through internal knowledge sharing.

Translate complex analytical outcomes into clear, impactful narratives for both technical and non-technical stakeholders, providing evidence-based insights to inform strategic decisions.

Mentor and guide a team of data scientists and analysts, fostering a culture of technical excellence, continuous learning, and collaboration.

Job Title: Data Scientist I

Location: Bangalore - Bhartiya City Tech Park

Experience: 3 to 7 Years (Min 3y relevant)

Job Type: Full time/ Permanent

Notice Period: Immediate to 15 days.

Transportation: 2-way cab will be provided

Job Summary:

Elevate is a technology firm which develops next-generation financial products focused on managing life's everyday expenses. The Data Science team conceptualizes, develops, deploys, and maintains predictive models and strategies to drive business decisions for our organization. The Data Scientist I plays a critical role by applying cutting-edge modeling techniques to drive growth, control risk, and ensure operations excellence.

Primary Responsibilities:

• Design, Develop and Deploy advanced machine learning models for use in Underwriting, Customer Management, Marketing, and Operations;
• Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging Python, R and/or Snowflakes in Elevate's Cloud Environment
• Proficiency in linear and nonlinear algorithms
• Efficiently apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and develop methods to enhance profitability of Elevate products;
• Provide knowledge and insight on the third party data providers such as Transunion, Clarity/Experian and Equifax to include knowledge of products and data available, effective use of variables, data dictionaries as well as advantages and limitations;
• Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Rmarkdown, IPython, Jupyter Notebook, etc.;

Experience and Education:

• Minimum 4 year degree (Computer Science, Math, or Business Degree). Master's Degree a plus
• Strong quantitative / statistical modeling capabilities
• Experience with third-party consumer credit data and other large datasets a plus
• Experience extracting and manipulating data using multiple database technologies such as Microsoft SQL Server, Snowflake, etc.
• Proficiency with Python is required.
• Superior presentation and communication skills
• Experience within the consumer lending environment a plus, but not required

Required Skills, Abilities, Soft Skill Factors

• Motivation Skills - History of achieving aggressive organizational goals and objectives, conveying sense of urgency while moving beyond challenges and obstacles.
• Solid Analytical and Problem-Solving Skills - Ability to analyze trends and suggest solutions to challenges.
• Achieve Successful Results - Takes the initiative to get things done.
• Demonstrates Adaptability - Works effectively in the face of stress, ambiguity, difficult situations and shifting priorities
• Innovates - Challenges the status quo thinking to generate new ideas; takes open minded approach to situations.
• Communication Skills - Refined written and verbal communication skills. Ability to foster open communications, listen effectively and build strong partnership networks.

The following breakdown summarizes the types and frequency of activities typically performed by employees in this position. It is not a guarantee of the actual distribution of activities to be performed.

About Elevate:

Elevate Financial Services is a global leader in financial innovation, dedicated to delivering advanced solutions that empower individuals and businesses. Combining technology and financial expertise, Elevate Financial Services drives excellence, promotes positive change, and enhances the financial well-being of its global clientele.

Job Description:

We are seeking a highly skilled and motivated Data Scientist to lead our team in developing cutting-edge speech analysis and voice technology solutions. The ideal candidate will have extensive experience in speech-to-text (STT), text-to-speech (TTS), and advanced models such as LLaMA3, Whisper, and Mistral. Candidate should also have good understanding for AI/ML use cases like lead mining etc.

Responsibilities:

• Team Leadership: Lead and mentor a team of data scientists and engineers, fostering a collaborative and innovative work environment.
• Project Management: Oversee the planning, execution, and delivery of projects related to speech analysis, voice technologies, and advanced models.
• Technical Expertise: Provide technical guidance and hands-on support in the development and implementation of STT, TTS, and other voice-related technologies.
• Model Development: Drive the development and optimization of advanced models like LLaMA3, Whisper, and Mistral for various applications.
• Data Management: Ensure the integrity, quality, and security of data used in speech and voice technology projects.
• Collaboration: Work closely with cross-functional teams, including product management, software engineering, and business stakeholders, to align project goals with business objectives.
• Innovation: Stay updated with the latest advancements in speech analysis, voice technologies, and machine learning models, and integrate them into the team's work.
• Performance Monitoring: Establish metrics and KPIs to monitor the performance and impact of speech and voice technology solutions.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Experience: Minimum of 5 years of experience in data science, with a focus on speech analysis and voice technologies.
• Technical Skills: Proficiency in STT, TTS, lead mining, and experience with models like LLaMA3, Whisper, and Mistral.
• Leadership: Proven experience in leading and managing a team of data scientists and engineers.
• Programming: Strong programming skills in languages such as Python, R, and familiarity with machine learning frameworks.
• Analytical Skills: Excellent problem-solving and analytical skills, with the ability to interpret complex data and provide actionable insights.
• Communication: Strong communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling machine learning models.
• Knowledge of natural language processing (NLP) and related technologies.
• Familiarity with data visualization tools and techniques.

Job Description:

We are seeking a highly skilled and motivated Data Scientist to lead our team in developing cutting-edge speech analysis and voice technology solutions. The ideal candidate will have extensive experience in speech-to-text (STT), text-to-speech (TTS), and advanced models such as LLaMA3, Whisper, and Mistral. Candidate should also have good understanding for AI/ML use cases like lead mining etc.

Responsibilities:

• Team Leadership: Lead and mentor a team of data scientists and engineers, fostering a collaborative and innovative work environment.
• Project Management: Oversee the planning, execution, and delivery of projects related to speech analysis, voice technologies, and advanced models.
• Technical Expertise: Provide technical guidance and hands-on support in the development and implementation of STT, TTS, and other voice-related technologies.
• Model Development: Drive the development and optimization of advanced models like LLaMA3, Whisper, and Mistral for various applications.
• Data Management: Ensure the integrity, quality, and security of data used in speech and voice technology projects.
• Collaboration: Work closely with cross-functional teams, including product management, software engineering, and business stakeholders, to align project goals with business objectives.
• Innovation: Stay updated with the latest advancements in speech analysis, voice technologies, and machine learning models, and integrate them into the team's work.
• Performance Monitoring: Establish metrics and KPIs to monitor the performance and impact of speech and voice technology solutions.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Experience: Minimum of 5 years of experience in data science, with a focus on speech analysis and voice technologies.
• Technical Skills: Proficiency in STT, TTS, lead mining, and experience with models like LLaMA3, Whisper, and Mistral.
• Leadership: Proven experience in leading and managing a team of data scientists and engineers.
• Programming: Strong programming skills in languages such as Python, R, and familiarity with machine learning frameworks.
• Analytical Skills: Excellent problem-solving and analytical skills, with the ability to interpret complex data and provide actionable insights.
• Communication: Strong communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling machine learning models.
• Knowledge of natural language processing (NLP) and related technologies.
• Familiarity with data visualization tools and techniques.

Senior Data Scientist (Agentic AI)

Why Birdeye?

Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye's AI-powered platform to manage online reputation effortlessly, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive.

At Birdeye, innovation isn't just a goal - it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2.

Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who's who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR.

Primary Skills: Agentic AI, Gen AI, LLMs, NLP, AI/ML, Data Science, AWS/GCP, API Deployment for SAAS, MLOps practices for CI/CD

Roles & Responsibilities:

• Develop Agents, Gen AI Solutions, Custom data models and algorithms to apply to data sets.
• Developing and implementing advanced AI/ML models to address complex problems.
• Clearly communicate findings and recommendations, data-driven insights to PMs and executives.

Requirements

• Bachelor's/Master's degree in Computer Science, Engineering, or a related technical field with a minimum of 4 years' experience.
• Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models & building Agents
• Experience in Agentic AI, Gen AI, LLM, NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe, etc.
• Experience in AWS / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRP,C etc.
• Experience in Docker for deploying the containers.
• Experience in NoSQL/SQL databases.
• Good programming skills in Python.
• Domain knowledge in Online Reputation management or experience in a product-based company (added advantage).
• Should have experience in Snowflake/ClickHouse/Databricks for Data Engineering
• Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

Why You'll Join Us

At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals - we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication.

Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference - we make it happen.

Interested candidates, please send their resumes to

Regards

Iqbal kaur

Senior Data Scientist (Agentic AI)

Why Birdeye?

Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye's AI-powered platform to manage online reputation effortlessly, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive.

At Birdeye, innovation isn't just a goal - it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2.

Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who's who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR.

Primary Skills: Agentic AI, Gen AI, LLMs, NLP, AI/ML, Data Science, AWS/GCP, API Deployment for SAAS, MLOps practices for CI/CD

Roles & Responsibilities:

• Develop Agents, Gen AI Solutions, Custom data models and algorithms to apply to data sets.
• Developing and implementing advanced AI/ML models to address complex problems.
• Clearly communicate findings and recommendations, data-driven insights to PMs and executives.

Requirements

• Bachelor's/Master's degree in Computer Science, Engineering, or a related technical field with a minimum of 4 years' experience.
• Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models & building Agents
• Experience in Agentic AI, Gen AI, LLM, NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe, etc.
• Experience in AWS / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRP,C etc.
• Experience in Docker for deploying the containers.
• Experience in NoSQL/SQL databases.
• Good programming skills in Python.
• Domain knowledge in Online Reputation management or experience in a product-based company (added advantage).
• Should have experience in Snowflake/ClickHouse/Databricks for Data Engineering
• Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

Why You'll Join Us

At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals - we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication.

Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference - we make it happen.

Interested candidates, please send their resumes to

Regards

Iqbal kaur

We are looking for a Senior Data Scientist with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques.

Key Responsibilities:

• Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc.
• Build end-to-end GenAI-powered solutions including prompt engineering, model training/fine-tuning, evaluation, and deployment.
• Use frameworks like LangChain, LlamaIndex, and vector databases (e.g., FAISS, Pinecone, Weaviate) to build RAG (Retrieval-Augmented Generation) pipelines.
• Collaborate with product, engineering, and business stakeholders to identify AI opportunities and prototype solutions.
• Conduct experiments, evaluate model performance, and optimize for accuracy, latency, and relevance.
• Contribute to the development of GenAI best practices and reusable assets within the organization.
• Stay up to date with the latest research and developments in the GenAI and LLM space.

Required Skills and Experience:

• 5+ years of experience in Data Science or AI roles, with 2+ years in GenAI or LLMs.
• Strong Python skills and experience with transformers, Hugging Face, PyTorch, or TensorFlow.
• Deep understanding of NLP, language modeling, and generative techniques.
• Experience with prompt engineering, fine-tuning or few-shot learning.
• Hands-on experience with LangChain, LlamaIndex, or similar GenAI orchestration frameworks.
• Working knowledge of vector stores, embedding models, and retrieval techniques.
• Experience with model deployment in cloud or hybrid environments (e.g., Azure, AWS, GCP).
• Familiarity with MLOps tools and best practices is a plus.

Preferred Qualifications:

• Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Experience with OpenAI, Anthropic, Meta AI, or Google Cloud GenAI APIs.
• Background in chatbot development, co-pilot solutions, or enterprise GenAI applications.

Publications or contributions to open-source projects in the GenAI space are a plus.

Location- Bangalore Chennai and Hyderabad

TE- 5 Years and above

NP- Immediate-15 days

Key Responsibilities

• Design and develop LLM-based agents and multi-agent workflows for enterprise use cases
• Build and optimize RAG pipelines, including data preparation, embedding strategies, vector search, and retrieval logic
• Define agent reasoning patterns, tool usage, memory, and orchestration strategies
• Lead experimentation with prompt engineering, chain-of-thought alternatives, and agent planning approaches
• Establish evaluation frameworks for LLM outputs, agent behavior, and system performance
• Collaborate with data engineers to define data requirements and pipeline interfaces for AI agents
• Contribute to AgentOps practices, including observability, debugging, reliability, and cost optimization
• Mentor mid-level team members and influence technical direction

Nice-to-Have / Preferred Requirements

• Strong hands-on experience with LLMs (OpenAI, Anthropic, open-source models)
• Deep understanding of RAG architectures and retrieval strategies
• Experience building Agentic AI systems and autonomous or semi-autonomous agents
• Familiarity with agent frameworks such as CrewAI, AutoGen, LangGraph, or similar
• Knowledge of LLM observability, evaluation metrics, and feedback loops
• Experience designing scalable AI architectures in cloud environments
• Understanding of security, privacy, and compliance considerations for enterprise AI
• Strong communication skills and ability to work across engineering, product, and business teams
• Comfortable working in a fast-moving, experimental environment

Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central, and Eastern Europe. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.

To learn more about Grid Dynamics, please visit . Follow us on Facebook, Twitter, and LinkedIn.

Key Responsibilities

• Develop and deploy scalable machine learning systems in production environments
• Build efficient data pipelines and infrastructure for AI applications
• Optimize ML models for performance, reliability, and scalability
• Implement MLOps practices for continuous integration and deployment of AI models
• Ensure AI systems meet banking security, compliance, and performance requirements
• Collaborate with data scientists to translate models into production-ready code
• Design and implement monitoring systems for deployed AI applications
• Troubleshoot and resolve issues with AI systems in production
• Contribute to the development of internal ML platforms and tools
• Stay current with latest developments in ML engineering and MLOps

Keyskills required:

• Min 8 Yrs of exp is required
• Experience in Python, AI ML, Deep learning, LLMs, NLP
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Knowledge of containerization and orchestration tools (Docker, Kubernetes)
• Understanding of software architecture and system design principles
• Familiarity with cloud platforms (AWS, Azure, GCP)

We are looking for a hands on Lead Data Scientist to drive AI/ML strategy, build scalable solutions, and lead a talented team across multiple client projects.

Key Responsibilities

• Lead end to end data science lifecycle: problem definition modeling deployment monitoring
• Build and scale AI/ML solutions: OCR, Document Intelligence, RAG, predictive models, anomaly detection, recommendations, GenAI
• Work with LLMs (OpenAI, Llama, Claude, Gemini) and agentic workflows
• Develop pipelines using Python, PyTorch/TensorFlow, HuggingFace, LangChain/LlamaIndex
• Implement vector search, embeddings, hybrid search, and multimodal AI
• Collaborate with Data Engineering for strong ETL/ELT pipelines
• Deploy models using MLOps: Docker, CI/CD, MLflow, Kubeflow, Airflow
• Work on cloud ML platforms: AWS SageMaker, GCP Vertex AI, Azure AI
• Lead client discussions, demos, proposals & stakeholder communication
• Mentor Data Scientists/Analysts and enforce best practices & coding standards

Required Skills & Experience

• 6-12 years in Data Science/ML with 3+ years in a leadership role
• Strong Python, SQL, Pandas, NumPy, Scikit learn
• Expertise in NLP, OCR, LLMs, embeddings, time series, deep learning
• Experience with vector DBs (Qdrant, Pinecone, FAISS, Chroma, Weaviate)
• Experience with Azure Document Intelligence / AWS Textract / Google Document AI
• Strong understanding of model lifecycle, governance, and monitoring
• Excellent communication & stakeholder management

Qualifications

• Bachelor's/Master's in CS, Engineering, or related field
• Proven experience leading AI/ML teams & delivering production-grade solutions

ADP Private Limited. is hiring a Principal Data Scientist at Hyderabad location.

Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day? Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging?

Well, this may be the role for you!

As a Principal Data Scientist at ADP, you'll be part of a team that's leading the next wave of disruption at scale, using the latest in computing and machine learning technologies and operating across millions of employee records to deliver app features that delight customers with personalized experiences. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI technologies. This role requires deep expertise in machine learning and data science.

WHAT YOU'LL DO:

• Set technical direction for AI/ML initiatives and partner with product and engineering leaders to define and execute data science strategy.
• Build, deploy, and scale machine learning models (including NLP, LLMs, and Generative AI) to power user-facing features.
• Be the expert in GenAI to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
• Partner with engineering teams to integrate them into applications and services and operationalize them in scalable and resilient production systems that serve millions of users.
• Leverage a broad stack of technologies to reveal the insights hidden within huge volumes of structured and unstructured data.
• Champion best practices in MLOps, data quality, and experimentation.
• Work in close collaboration with leadership to assemble a world-class team.
• Mentor a team of data scientists and ML engineers, fostering a collaborative, innovative, and inclusive environment.
• Continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights.

TO SUCCEED IN THIS ROLE, YOU WILL HAVE:

• Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, or quantitative field with 10+ years' experience in Data Science is required.
• Expert level proficiency in Python and SQL.
• Strong experience with machine learning libraries (scikit-learn, PyTorch, or similar)
• Strong experience with distributed computing and cloud platforms (Databricks, AWS, or similar).
• Demonstrated experience taking models from concept to production at scale
• Experience with technical storytelling and customer-facing project demos.
• Expertise in NLP, LLMs, or Generative AI
• Proven success in mentoring, and developing technical teams.
• Ability to influence technical strategy and drive adoption of new technologies.
• Strong communication skills -able to convey complex concepts to technical and non-technical stakeholders.
• Strategic thinking to connect data science initiatives to business outcomes.

YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:

Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution.

Deliver at an epic scale. We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.

Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.

Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.

Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.

Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.

A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.

About ETS:

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL , TOEIC , GRE and Praxis tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edu soft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.

Location: Gurugram, India (Hybrid) Full Time

Team: Growth & Innovation

Reports to: Head of Data Strategy, Growth Function

ETS is a global leader in educational assessment and research, driven by a mission to advance quality and equity in learning. We're looking for a visionary Senior Data Scientist to join our India team and lead data-driven initiatives that shape the future of education.

About the Role

As a Senior Data Scientist (Market & Research), you'll be at the forefront of transforming how ETS understands and engages learners. You'll lead end-to-end data science projects that support marketing, sales, and product strategy-developing predictive models, uncovering insights, and building scalable data solutions that personalize learning experiences across the globe.

This is a high-impact role for someone who thrives in complexity, values innovation, and wants to make a difference in education through data.

Job Description:

• Lead the development of user data footprints across digital learning, teaching, and assessment platforms.
• Architect and automate data pipelines for structured and unstructured data.
• Design and implement preprocessing workflows including cleaning, transformation, and reduction.
• Build predictive models and machine learning algorithms to uncover trends and drive personalization.
• Apply ensemble modeling techniques to support adaptive learning experiences.
• Collaborate with cross-functional teams to integrate insights into product and marketing strategies.
• Develop interactive, AI-enabled prototypes that incorporate cognitive science principles.
• Create compelling data visualizations to communicate findings to stakeholders.
• Ensure compliance with QA, documentation, and ethical standards.
• Mentor junior data scientists and contribute to ETS's global data science community.

Experience and Skills:

• Bachelor's degree in a quantitative field (master's preferred).
• 8+ years of experience in data mining, predictive modeling, and machine learning using Python, R, and SQL.
• Proven ability to communicate insights through data visualization and storytelling.
• Experience working with complex datasets and building scalable data architectures.
• Strong understanding of educational data, learner behavior, or cognitive science is a plus.
• Passion for innovation, collaboration, and making a global impact through education.
• This is not an IT Role.

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

Job Title: Gen AI Developer

Location: Bangalore / Lucknow

Role Type: Full-time, Senior level

Company's website:

LinkedIn link: UBI LinkedIn

About UsefulBI:

UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.

Role Overview:

We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you'll work across the entire data science lifecycle-from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.

You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using LLMs such as GPT-4, Claude, Mistral, Gemini, and frameworks like LangChain.
• Build GenAI-powered solutions including AI report generators, contextual chatbots, summarization engines, and semantic search systems.
• Design, optimize, and evaluate prompts for diverse use cases and user personas.
• Implement and enhance Retrieval-Augmented Generation (RAG) pipelines to improve relevance and accuracy.
• Fine-tune and customize foundation models using LoRA, PEFT, and prompt-tuning techniques.
• Evaluate and monitor model performance across accuracy, latency, and business KPIs.
• Apply NLP techniques such as entity recognition, topic modeling, sentiment analysis, summarization, and question answering.
• Work with libraries and frameworks including Hugging Face Transformers, LangChain, spaCy, and NLTK.
• Deploy and scale GenAI solutions on cloud platforms such as AWS Bedrock/SageMaker, GCP Vertex AI, and Azure OpenAI.
• Build secure, scalable inference pipelines integrated with backend systems and APIs.
• Implement MLOps best practices using tools like MLflow, Docker, and CI/CD pipelines.
• Collaborate with product managers, data engineers, and designers to align AI solutions with business goals.
• Continuously explore and experiment with emerging GenAI models, tools, and research to keep solutions cutting-edge.

Required Skills & Qualifications

• 7+ years of experience as a Data Scientist, with strong exposure to Generative AI / LLM-based applications.
• Proficiency in Python and ML libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Experience across the end-to-end ML lifecycle: development, validation, deployment, and monitoring.
• Strong foundation in statistics, probability, and data modeling.
• Hands-on experience with NLP libraries such as NLTK, spaCy, and Hugging Face Transformers.
• Practical experience with OpenAI APIs, LangChain, RAG architectures, and LLM fine-tuning.
• Experience with SQL and at least one NoSQL database.
• Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
• Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders.

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

The Opportunity:

As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company's AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities:

• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
• Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise:

• Educational Background: Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 4+ years of experience in data analysis within eCommerce
• Technical Skills: Proficiency in data analysis tools and software:
• Python
• SQL
• Advanced Excel
• Tableau or similar
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have:

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce)

Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous.

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

Primary Responsibilities:

• Built and implemented enterprise-level GenAI chatbots capable of natural-language search over extensive document repositories and databases.
• Research and develop multi-agentic systems for production-grade applications that handle large-scale documents and big data
• Optimize vector databases for enterprise-scale semantic search, context management, chat history, and source attribution
• Build document processing pipelines with intelligent chunking, metadata extraction, and multi-format handling
• Implement advanced retrieval strategies: hybrid search, re-ranking, and custom evaluation frameworks
• Work in AWS cloud platform for deployment – handle concurrent requests and scale
• Integrate and optimize LLMs via AWS Bedrock, or Azure with hallucination mitigation
• Debug and resolve retrieval quality issues, latency bottlenecks, and cost optimization challenges
• Opportunity to mentor and shape GenAI practices across the organization
• Individual Contributor reporting to Engineering Manager

Skills Required:

• Experience building GenAI applications from scratch including custom chunking strategies, metadata extraction, multi-format document processing pipelines, indexing, context management, memory management, fine-tuning techniques, model compression techniques, etc. (Must be able to demonstrate through technical justific

Why should you choose us?

Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting outmoded thinking that threatens the industry’s pursuit of rapid innovation and growth. Based on proven modern infrastructure practices, its open interface platforms make it possible to launch and operate advanced mobile services in a fraction of the time and cost of conventional approaches, with no compromise to network quality or security. Rakuten Symphony has operations in Japan, the United States, Singapore, India, South Korea, Europe, and the Middle East Africa region. For more information, visit:

Building on the technology Rakuten used to launch Japan’s newest mobile network, we are taking our mobile offering global.

To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business – from sales to engineering, support functions to product development.

Let’s build the future of mobile telecommunications together!

About Rakuten Group, Inc. (TSE: 4755) is a global leader in internet services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content and communications to approximatel

Job Overview:

Locations- Indore/Pune/Hyderabad/Bangalore

We are looking for a AI/ML Developer to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges.

Key Responsibilities:

• Develop and optimize ML, NLP, Deep Learning, and Generative AI models.

• Research and implement state-of-the-art algorithms for supervised and unsupervised learning.

• Work with large-scale datasets in distributed environments.

• Understand business processes to select and apply the best ML approaches.

• Ensure scalability and performance of ML solutions.

• Collaborate with cross-functional teams, including product owners, designers, and developers.

• Solve complex data integration and deployment challenges.

• Communicate results effectively using data visualization.

• Work in global teams across different time zones.

Required Skills & Experience:

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI .

• Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Fa

Company Description

HCL Software is a division of HCL Technologies (HCL) that operates its primary software business. It develops, markets, sells, and supports over 20 product families in the areas of Customer Experience, Digital Solutions, Security & Automation and DevOps. Its mission is to drive ultimate customer success with their IT investments through relentless innovation of its products.

As Data Scientist/Researchers you will be responsible for leveraging the established architecture disciplines to help ensure that business strategies align with powerful capabilities of AI/ML to achieve business objectives consistently and cost effectively.

Please share CV to monica_sharma@hcl-software.com with the below details:

Total Experience-

Current CTC-

Expected CTC-

Notice Period-

Main Responsibilities

• Propose solutions and strategies to tackle business challenges in AI/ML product
• Operationalizing and architecting ML/AI solutions

Qualifications, Education and Experience:

• Phd, Masters or Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics with at least 10+ years in ML/AI
• Ability to prototype statistical analysis and modeling algorithms and apply th

About Us

We are a fast-growing consulting firm specializing in Data Science, Optimization, and GenAI solutions across industries.

We are now looking for a hands-on Senior Data Scientist with 5+ years of experience who can lead projects end-to-end — from data exploration to scalable deployment — with strong expertise in forecasting, large-scale analytics, and adaptive learning systems.

Key Responsibilities

• Design and implement advanced forecasting models (statistical, ML, DL) for large-scale datasets , including multi-SKU, multi-location, and multi-horizon forecasting.
• Work on complex supply chain datasets , including demand planning, inventory movement, lead times, seasonality, promotions, and external drivers.
• Build and maintain feedback-loop mechanisms with planners (model overrides, adjustments, bias monitoring) to ensure adaptive, continuously learning forecasting systems.
• Develop scalable data processing pipelines using Python and Spark/distributed frameworks to manage millions of records efficiently.
• Build NLP components (classification, extraction, embeddings) for analytics use cases where required.
• Contribute to building and integrating LLM-powered tools (prompting, retrieval, light agent workflows) for automation.
• Deploy and monitor solutions on Azure or AWS, ensuring reproducib

Senior Machine Learning Scientist (IC) – AdTech

About the Team

Nykaa’s AdTech Data Science team is at the forefront of building intelligent, ML-powered advertising products including Sponsored Products, Display Ads, and Creative Personalization. We aim to serve highly relevant, personalized ads to millions of users while maximizing advertiser success through scalable, automated systems.

In this role, you will be a hands-on contributor driving the design, development, and deployment of core ML models powering Nykaa’s ad platform. You will collaborate closely with product, engineering, and business stakeholders to solve high-impact problems in advertising science.

What Are We Looking For?

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field from a reputable institution.

Experience

• 6+ years of experience building and deploying production-grade ML systems
• 2+ years of experience in AdTech(Bidding, Pacing of the Ad Spend), performance marketing, marketplace ranking systems, or large-scale recommender systems
• Proven experience taking ML models from ideation to production deployment
• Hands-on experience working on high-scale, real-time systems

Domain Expertise:

• CTR/CVR prediction and ran

Job Title:Data Scientist

Exp:1-8 yrs Exp

Work Mode:4 days WFO,1 days WFH

Skills:Machine Learning/ML Models, SQL, Python, Deep Learning, Large Language Model/LLM/Generative AI/Gen AI, TensorFlow/Keras/PyTorch/Scikit-learn/LightFM/RecBole/LangChain

Notice Period:0-60 days

Location:Bengaluru(Manayata Tech Park)

About the Role

Constelli is seeking a motivated and detail-oriented Data Scientist / Machine Learning Engineer to design, develop, and deploy data-driven solutions. The role involves building scalable machine learning models, developing analytics pipelines, and delivering insights that support business and operational decision-making.

Key Responsibilities

• Develop, train, and optimize machine learning models for predictive analytics and classification.
• Perform data collection, cleaning, preprocessing, and feature engineering.
• Design end-to-end ML pipelines including model evaluation, tuning, and deployment.
• Build and deploy REST APIs for model serving and integration.
• Apply explainable AI techniques (SHAP, LIME) to improve model transparency.
• Conduct exploratory data analysis and generate actionable insights.
• Develop dashboards using Power BI, Tableau, or Python visualization libraries.
• Work with cloud platforms such as AWS or Databricks.
• Collaborate with cross-functional teams to understand business requirements.
• Maintain documentation, version control, and follow MLOps best practices.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
• Proficiency in Python, SQL, Pandas, PyTorch or Tensorflow.
• Strong understanding

Job summary: We are a leading Software as a Service (SaaS) company that specializes in the transformation of data in the US healthcare industry through cutting-edge Artificial Intelligence (AI) solutions. We are seeking a Lead Data Scientist. As a Lead Data Scientist at HiLabs, you will partner closely with a team of stakeholders, product managers, and data engineers to solve real problems in the healthcare domain.

HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions

Responsibilities:

• Leveraging AI/ML techniques and solutions to Identify and mathematically interpret complex healthcare problems.
• Deploy and optimize machine learning solutions on massive datasets using big data technologies.
• Develop and prototype AI algorithms and software tools.
• Implement enhancements to existing algorithmic / Machine Learning solutions.
• Conduct quantitative data analysis using a variety of datasets.
• Increase efficiency and improve the quality of solutions offered.
• Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders.
• Build and deploy additional functionalities as per client requirements.
• Should be abl

HiLabs is a healthcare technology company focused on solving one of the biggest problems in the US healthcare system, poor data quality. Dirty data costs the industry over 300 billion dollars every year. HiLabs addresses this challenge at scale using explainable AI.

Our core platform, MCheck™, has analyzed over 15 billion healthcare records, covering more than one third of the US insured population. HiLabs is headquartered in the Washington DC metropolitan area, with strong R&D centers in Pune and Bangalore.

Join a team that uses advanced AI, machine learning, and big data technologies to build impactful healthcare platforms with real-world outcomes.

Role Summary

We are looking for a Sr. Lead Data Scientist or Lead Data Scientist to solve complex healthcare data problems using applied machine learning and strong mathematical foundations.

In this role, you will work closely with product managers, data engineers, and clinicians to design, build, and deploy scalable ML solutions. You will also mentor data scientists and influence the technical direction of our AI platforms.

This is a hands-on leadership role , not a pure people management position.

Key Responsibilities

• Apply AI and ML techniques to interpret and solve complex healthcare problems.
• Build, deploy, and optimize ML models on large-scale datasets.
• Own solutions end to end, from problem fo

Experience: 8+ Years

Location: Remote

Job Summary

We are looking for a highly skilled Senior Data Scientist with deep experience in Retail, E-commerce, or Product Analytics to drive data-driven decision-making across the organization. The ideal candidate will have strong expertise in advanced analytics, machine learning, and large-scale data systems, and will partner closely with product, business, and engineering teams to deliver measurable business impact.

Key Responsibilities

• Lead end-to-end data science initiatives from problem definition to deployment and monitoring.
• Build and optimize predictive models for use cases such as demand forecasting, pricing optimization, customer segmentation, churn prediction, recommendations, and personalization.
• Analyze large-scale product, customer, and transaction data to uncover actionable insights.
• Partner with Product, Marketing, Supply Chain, and Business teams to translate business problems into analytical solutions.
• Design and implement A/B experiments , uplift models, and causal inference frameworks to evaluate product and business strategies.
• Develop and maintain scalable ML pipelines in production environments.
• Ensure data quality, model performance, and governance best practices.
• Mentor junior data scient

About the Company:

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 2000+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role : Data Scientist

Work Location : Bangalore

Experience : 6+ Years

Technical Skill : Computer Vision, Gen AI, AIML, MLOps, Azure Databricks, LLMs, CNNs, SQL, Python/PySpark, AWS

JD and required Skills & Responsibilities:

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models for real-world business problems
• Build and optimize computer vision solutions , including image processing, feature extraction, and semantic segmentation
• Develop supervised and unsupervised learning models for prediction, classification, clustering, and anomaly detection
• Implement Generative AI solutions , including LLM integration, indexing, and retrieval-based workflows
• Write efficient, scalable

About Bennett, Coleman & Co. Ltd. (The Times of India)

We are India's largest media conglomerate, known for our leading publications such as The Times of India, The Economic Times, and many others. With a rich heritage of over 180 years, we are dedicated to delivering news, information, and entertainment to millions of readers across the country. Our commitment to journalistic excellence, innovation, and integrity makes us a trusted name in the industry.

As our reputation precedes us, we are a Print++ company, with print being our core, on a transformative journey to bring newer content consumption experiences.

Come be a part of our growing family!

About the Hiring Function

The Product and Technology team is integral to our organization, driving innovation and the development of print and digital products that enhance reader engagement and operational efficiency. The hiring function within this team is dedicated to attracting and retaining top talent across various roles, including product management, software development, UX/UI design, and data analytics.

About the Position

We are seeking a Senior Data Scientist to drive data-led decision-making across our newsroom as part of a large-scale editorial and operational transformation. This role will operate at the intersection of editorial judgment, product innova

Overview:

The Associate Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects.

Job Description:

• Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions.
• Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives.
• Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists.
• Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience.
• Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions.
• Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI.
• Experience in a data science role, demonstrating practical experience and strong

Job Location: Kolkata/Bengaluru/Hyderabad

Responsibilities:

1. Collect, analyze, and interpret large datasets to gain insights and inform business decisions.

2. Develop and implement machine learning models and algorithms to solve complex problems.

3. Design and implement data visualizations to communicate findings to stakeholders.

4. Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.

5. Stay up-to-date with industry trends and emerging technologies in data science.

Requirements:

1. 2+ years of relevant work experience with a strong background in statistics, mathematics, or computer science.

2. Proficiency in programming languages such as Python, R, or SQL.

3. Experience with machine learning frameworks and libraries.

4. Strong data analysis and problem-solving skills.

5. Excellent communication and collaboration skills.

Nice to Have:

1. Experience with big data technologies.

2. Knowledge of cloud platforms.

3. Familiarity with agile development methodologies.

Senior Data Scientist (R&D) - AI/ML for Private Credit

Designation -Member of Technical Staff

Location: Bangalore

Experience: 5+ years

Mode of work: Work from Office

About the Role

We're looking for a Senior Data Scientist to lead R&D initiatives at the intersection of LLMs, information retrieval, and private credit analytics. You'll fine-tune small language models on financial documents, build agentic workflows for multi-step reasoning, and develop production-ready extraction systems that power our AI platform for institutional investors.

This role bridges cutting-edge research with real-world deployment. You'll work closely with Prompt Engineers on hybrid LLM+ML approaches, partner with QA Data on evaluation frameworks, and translate research into detailed specs for our Platform Engineering team. Your models will process thousands of credit agreements daily, requiring both innovation and reliability.

What You'll Do

Model Development & Fine-tuning

• Fine-tune Small Language Models on proprietary private credit corpus (credit agreements, indentures, term sheets)
• Develop information retrieval systems: semantic search, ranking algorithms, and context-aware retrieval
• Build agentic workflows with multi-step reasoning, tool use, reflection, and self-correction capabilities
• Train classification models f

We are looking for a Senior Data Scientist with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques.

Key Responsibilities:

• Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc.
• Build end-to-end GenAI-powered solutions including prompt engineering, model training/fine-tuning, evaluation, and deployment.
• Use frameworks like LangChain, LlamaIndex , and vector databases (e.g., FAISS , Pinecone , Weaviate ) to build RAG (Retrieval-Augmented Generation) pipelines.
• Collaborate with product, engineering, and business stakeholders to identify AI opportunities and prototype solutions.
• Conduct experiments , evaluate model performance, and optimize for accuracy, latency, and relevance.
• Contribute to the development of GenAI best practices and reusable assets within the organization.
• Stay up to date with the latest research and developments in the GenAI

Key Responsibilities

• Develop and deploy scalable machine learning systems in production environments
• Build efficient data pipelines and infrastructure for AI applications
• Optimize ML models for performance, reliability, and scalability
• Implement MLOps practices for continuous integration and deployment of AI models
• Ensure AI systems meet banking security, compliance, and performance requirements
• Collaborate with data scientists to translate models into production-ready code
• Design and implement monitoring systems for deployed AI applications
• Troubleshoot and resolve issues with AI systems in production
• Contribute to the development of internal ML platforms and tools
• Stay current with latest developments in ML engineering and MLOps

Keyskills required:

• Min 8 Yrs of exp is required
• Experience in Python, AI ML, Deep learning, LLMs, NLP
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Knowledge of containerization and orchestration tools (Docker, Kubernetes)
• Understanding of software architecture and system design principles
• Familiarity with cloud platforms (AWS, Azure, GCP)

Total yrs of exp: 7+ yrs

Balewadi,Pune Location

Immediate to 15 days only

Responsibilities -

• Overall 6+ years of experience, out of which in 5+ in AI, ML and Gen AI and related technologies
• Proven track record of leading and scaling AI/ML teams and initiatives
• Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications
• Expertise in ML frameworks such as PyTorch and/or TensorFlow
• Experience with ONNX runtime, model optimization and hyperparameter tuning
• Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack
• Experience in production-level deployment of AI models at enterprise scale
• Proficiency in data preprocessing, feature engineering, and large-scale data handling
• Expertise in image and video processing, object detection, image segmentation, and related CV tasks
• Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications
• Experience with speech recognition, audio classification, and general signal processing techniques
• Experience with RAG, VectorDB, GraphDB and Knowledge Graphs
• Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML dep

Job Title: AI/ML Engineer / GenAI

Experience: 4+ Years

Location: Chennai, Bangalore (Onsite)

Mandatory Skills: Machine Learning & AI, AI/ML Models, Model Deployment & APIs, GenAI.

Job Description:

• Develop and implement advanced AI algorithms and statistical models
• Collaborate with cross-functional teams to deliver impactful AI solutions
• Design experiments to interrogate and extract insights from large datasets
• Host models and convert them into APIs for scalable deployment
• Apply predictive modeling to optimize customer experience, revenue, and targeting
• Promote Explainable and Responsible AI practices
• Conduct research and develop prototypes and proof-of-concepts
• Identify opportunities to reuse insights, datasets, and models across functions
• Stay curious and enthusiastic about solving problems with algorithms
• Embrace a fast-paced, experimental mindset: Move fast, break things, learn, make history

Interview Process: Online Coding Assessment -> Technical Discussion -> HR / Manager Round - F2F.

If interested, kindly share your profile and details via email or LinkedIn.

Email: raveena.y@infosys.com

About Finacle

Finacle is an industry leader in digital banking solutions. We partner with

1. Roles and Responsibilities:
• An expert in sourcing and procurement operations domain and Data Science skills.
• Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics.
• Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.
• Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc.
1. Technology and Process Optimization:
• Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions.
• Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis
• Collaborate with IT and procurement teams to improve data integration and system automation.

Experience and Education:

• A minimum 5-10 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred.
• Master’s degree in Technology, Engineering, or a

Role : Senior Data Scientist / Lead Data Scientist

About Media.net :

Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry-standard in ad buying for digital platforms.

The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search. Media.net’s U.S. HQ is based in New York, and the Global HQ is in Dubai. With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services.

Data Science is at the heart of Media.net. The team uses advanced statistical and machine learning and deep learning models, large scale distributed computing along with tools from mathematics, economics, auction theory to build solutions that enable us to match users with relevant ads in the most optimal way thereby maximizing revenue for our customers and for Media.net.

Some of the challenges the team deals with:

• How do you use information retrieval, machine learning models to estimate click through rate and revenue given the information regarding the position of the slot,

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

What does day-to-day life look like?

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks . <

🚀 We’re Hiring: Deputy Manager - Data Scientist / Machine Learning

📍 Experience: 6–9 Years

🎓 Education: B.Tech

📍Location: Pune

🏭 Industry: Off-Highway Equipment/ Automobile/ Heavy industries

✨ What We’re Looking For

Experience in Data Science, Machine Learning, Deep Learning, GenAI, or Advanced Analytics.

• Proven ability to build, deploy, and scale data-driven solutions in real-world environments.

🧠 Key Responsibilities

End-to-End Ownership

Lead the full lifecycle — data gathering, pipeline development, model building, evaluation, and deploying into production.

Programming & Tools

• Strong expertise in Python and/or R
• Advanced SQL skills
• Experience with leading AI/ML frameworks: pandas, NumPy, scikit-learn, TensorFlow, PyTorch, LangChain, Hugging Face Transformers, and OpenAI APIs

☁️ Cloud & Infrastructure

• Practical experience working in cloud-based ML environments
• Familiarity with AWS for ETL, model development, deployment, and orchestration

🤖 ML / DL Expertise

Strong understanding of supervised & unsupervised techniques, with the ability to apply them to real business problems.

🔗 Data Pipelines & Architecture <

About Albertsons Companies Inc.:

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India:

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons Companies India, we are raising the

Prospect 33 (P33.ai)

India | Full-Time | Remote Leadership Role

As part of the continued expansion of our world-class Data, AI & Research Technology (DART) practice, Prospect 33 is adding another exceptional Gen AI Lead/Data Scientist (PhD) to our team.

You will sit at the core of P33, leading high-impact initiatives for some of the world’s most sophisticated banks and asset managers. This is not a vendor or staff-augmentation role. You will be a full member of our firm, owning architecture and delivery end-to-end, and shaping how generative and predictive AI transforms investment research, sales, trading, and risk across global markets.

What You’ll Do

• Build and productionize next-generation data products and AI signals using traditional and alternative data at scale.
• Design, optimize, and lead end-to-end Data & ML pipelines (ingestion → feature stores → training → low-latency inference) that directly influence multi-billion-dollar strategies.
• Provide distributed-systems leadership by profiling Spark/Databricks workloads, eliminating latency and cost inefficiencies, and setting technical standards across engagements.
• Drive MLOps and GenAI adoption (CI/CD, IaC, MLflow, LLM orchestration, agent frameworks).
• Mentor high-potential junior engineers and represent P33 technically w

A fortune 100 company is seeking a Senior Data Scientist for a contract to hire role that will work onsite 4 days a week in the Bengaluru India area. The Senior Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes.

Key Responsibilities:

• Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives.

• Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes.

• Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc.

• Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions.

Insight Global

Yesterday