Find Your Dream Data Science Job in India

Job Introduction:

A Data Science Trainer is responsible for teaching various modules of Data Science as per the curriculum. They deliver training sessions, prepare learning materials, and assess the progress of learners. The role demands strong expertise in data analytics, programming, machine learning, deep learning, and emerging AI technologies. A Data Science Trainer must be able to simplify complex technical concepts, demonstrate practical applications, and communicate effectively. They play a key role in shaping learners into skilled data professionals who can work with real-world datasets and industry-relevant tools.

Roles & Responsibilities:

• Conducting classroom or online lectures on Data Science, Machine Learning, Deep Learning, AI, SQL, Python, and related technologies.
• Assigning and evaluating practical exercises, projects, and data-driven case studies.
• Guiding students one-on-one with coding support, doubt-solving, and project mentoring.
• Ensuring that the course curriculum is updated, practical, and aligned with current industry needs.
• Collaborating with other trainers and content developers to create and improve training materials.
• Maintaining accurate records of student performance, attendance, and progress reports.
• Creating a positive, engaging, and hands-on learning environment for students.
• Participating in faculty meetings, workshops, and continuous professional development activities.
• Keeping up-to-date with the latest advancements in Data Science tools, frameworks, and technologies.

Job Qualification & Skill Sets:

• A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• Minimum 1 year of experience as a Data Science Trainer
• Strong knowledge of Python programming, data analysis libraries and data visualization tools
• (Matplotlib, Seaborn).
• Excellent communication, presentation, and mentoring skills.
• A passion for teaching and empowering students to build strong careers in Data Science.
• Ability to work independently as well as collaboratively within a team.

Perks & Benefits :

• 12 Holidays and 21 leaves for the year
• Monthly, Quarterly & Yearly Recognition
• Medical Insurance along with the family covered
• Chance to win Indian & International trips
• Career Growth Enhancement
• Continuous training & development

Company Description S2P EDUTECH is an education-focused organization dedicated to helping undergraduate students make the most of their academic years by building strong career-ready skills. The team is composed of experienced professionals with extensive backgrounds in multinational companies in India and abroad. The company provides high-quality training in campus recruitment preparation, technical campus recruitment, programming languages, and skill development. S2P EDUTECH also offers end-to-end placement assistance, aiming to bridge the gap between academic learning and industry expectations.

Role Description This is a full-time, on-site Python and Data Science Trainer role based in Nagpur. The trainer will design and deliver structured courses in Python programming, data science fundamentals, and related tools to undergraduate learners and early-career professionals. Day-to-day responsibilities include preparing lesson plans, creating instructional materials, conducting interactive classroom sessions, and guiding learners through hands-on coding exercises, projects, and assessments. The trainer will monitor learner progress, provide feedback and mentoring, and adapt teaching methods to diverse learning styles. Additional responsibilities may include contributing to curriculum development, collaborating with the academic coordination team, and supporting placement-focused training initiatives.

Qualifications

• Strong foundation in Science Education with the ability to connect Python and data science concepts to real-world scientific and analytical applications.
• Solid understanding of Mathematics, including statistics and basic linear algebra, to support data analysis and machine learning topics.
• Background in Physics or related quantitative disciplines is beneficial for explaining analytical problem-solving and modelling.
• Qualified Teacher or trainer with experience in lesson planning, classroom management, and assessment of learner performance.
• Hands-on proficiency in Python, data analysis libraries (e.g., NumPy, pandas), and data visualization tools (e.g., Matplotlib, Seaborn); exposure to machine learning frameworks is an advantage.
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly to learners at different levels.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or a related field.
• Experience in academic training, corporate training, or edtech is preferred, along with a learner-centric and inclusive teaching approach.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations, Apziva helps companies recruit the best candidates with proven work experience and solve challenging real problems of leading organizations from all around the world.

The Opportunity

Apziva runs a self-paced remote residency program, where participants work on real projects, and try to solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva's industry-leading partners.

Our mentor community comprises industry experts from the best organizations in the world. If you are as passionate about mentoring as you are about AI/ML, we'd love to hear from you.

The Apziva AI Residency Program:

A remote, flexible opportunity that takes around 6 months.

Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience.

Participants learn by doing as they work on real projects with a personal mentor.

They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice.

You:

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.

Benefits:

Membership in our rich global community of mentors working with top companies.

Working with professionals who are eager to learn by doing.

Mentoring professionals on a range of real projects from different industries.

Receive a monthly per-mentee honorarium.

Work at your convenience.

Work remotely.

Apziva is an Equal Opportunity Employer. We do not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Purpose:

The position is responsible to manage and lead a team of Data Scientists, developing predictive modelling solutions in credit risk and marketing for Consumer and Commercial lending portfolios

Key Responsibilities:

• Provide insights, perform trend and variance analyses across the product suite for cross sell activities from a risk and marketing perspective
• Assist Business teams with analyzing root cause of trends, identify incremental sales opportunities and risk mitigation avenues
• Develop machine learning models, segmentation and mentor junior analysts on development of solutions that incorporate business aspects and operational constraints
• Ensure operationally efficient solutions and drive optimization in existing analytics solutions

Job Requirements:

• M.Tech / B.E / B.Tech / M.Sc in CS or Stats or Maths
• Min of 8+ years’ experience in data science
• Experience in Statistical/ Machine learning / Deep Learning Models
• Strong command of SQL and Python
• Experience in risk analytics, credit risk models, marketing analytics, marketing models, portfolio monitoring, Expected credit loss (ECL) models
• Excellent analytics, logical, problem solving and numerical skills
• Familiarity in Python, SQL, Advanced excel skills

Part-Time Data Science & AI Instructor (Hyderabad)

upGrad is expanding its Offline Learning Centres , and we are looking for a dynamic, part-time Data Science Instructor in Hyderabad who is well-versed in cutting-edge technologies like Generative AI and Agentic AI .

If you want to balance your current professional commitments while mentoring ambitious students and working professionals in a classroom setting, this is the perfect role for you!

Type: Part-Time

Location: Hyderabad (In-person classroom delivery)

Schedule: Weekend / Evening batches

Key Responsibilities

As a Part-Time Instructor, you will play a vital role in ensuring high-quality learning outcomes:

Deliver High-Impact Sessions: Conduct engaging, in-person lectures and hands-on training sessions in Data Science, Machine Learning, Deep Learning, and cutting-edge GenAI/Agentic AI frameworks.

Project Mentorship: Guide learners through real-world case studies, industry projects, and standard practical tools to ensure career readiness.

Collaborative Support: Work alongside Centre Managers and academic teams to track learner progress, resolve doubts, and offer constructive feedback.

Stay Cutting-Edge: Continuously update your practical knowledge to ensure our learners are trained on the latest indust

Marsh is seeking a candidate for following position based out our office in Mumbai :

Senior Principal Engineer - Data Science

What can you expect?

This position is for an individual contributor in Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading tools.

Core Responsibilities:

• Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk
• Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Machine Learning models, and finalizes with results that unlock insight for clients and colleagues
• Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization
• Stays current with ongoing research in the field and brings new approaches to the team
• Serves as an internal expert resource and champion for data scien

Job Summary:

The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the company’s overall strategic goals.

Key Responsibilities:

Leadership and Team Management:

• Lead, mentor, and develop a team of data scientists.
• Foster a culture of innovation, collaboration, and continuous learning.
• Set clear goals and performance expectations for the team.

Strategy and Vision:

• Define and implement the data science strategy aligned with the company’s objectives.
• Identify and prioritize data science projects that drive business value.
• Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science.

Technical Expertise:

• Oversee the development and deployment of machine learning models and algorithms.
• Ensure best practices in data modeling, coding, and experimental design.
• Provide technical guidance on complex data science projects.

Collaboration and Communication:

Tredence Inc.

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