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Principal Data Scientist

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!

Meijer Rewards

  • Weekly pay

  • Scheduling flexibility

  • Paid parental leave

  • Paid education assistance

  • Team member discount

  • Development programs for advancement and career growth

Please review the job profile below and apply today!

The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data.

What You'll Be Doing:

  • Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance
    • Partner with product development to define requirements which meet system and customer experience needs for data science projects
    • Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables
    • Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs
    • Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology
  • You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations.
  • Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow.
  • Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail.
  • Mentors data science teams and promotes a culture of curiosity, accountability, & enthusiasm.
  • Provides data science strategy to ensure code modernization and industry standard patterns for data science.
  • Provides guidance to development teams within domain (Commerce, Services or Mobile).
  • Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science.
  • Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers.
  • Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution
  • Responsible to define, document & follow best practices & approve for ML/AI development at Meijer
  • Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products
  • Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products
  • Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy
  • Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact
  • This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required

What You'll Bring With You:

  • Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field
  • Certifications: Azure Data Science Associate, Azure AI, Safe Agile
  • 8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI
  • Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK
  • Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub
  • Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
  • Developed efficient and effective solutions to diverse and complex business problems
  • Technical team leadership experience.
  • Experience in Scaled Agile framework is preferred.
  • Proactive and action oriented
  • Ability to collaborate with, and present to internal and external partners
  • Experience in the retail industry or in a production/service environment is preferred.
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Meijer

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16 days ago

Data Scientist

Description:

We are looking for a highly motivated Data Scientist to join our team, contributing to the development of innovative software and assays designed to assess the off-target safety profiles of CRISPR-based gene editing systems, The ideal candidate will bring a strong foundation in data science, coupled with specialized expertise in bioinformatics. We are seeking an individual with advanced programming skills, a deep understanding of data analysis principles, and hands-on experience with NGS data analysis. This position requires active collaboration within interdisciplinary teams on a range of projects, including prototyping software for novel assays / products, and evaluating and monitoring the performance of both software and assay offerings.

  • Collaborate closely with R&D and Data Science team to design and prototype bioinformatics workflows for NGS data analysis, contributing to the development of new assay offerings.
  • Partner with Data Science and Product Development functions to design and prototype novel in-silico tools to lower off-target risk in gene editing strategies.
  • Support bioinformatics engineering team members in translating prototyped pipelines into scalable, production software.
  • Execute data analysis / bioinformatics pipelines while ensuring compliance with relevant regulatory standards (e.g, GLP standards) to support client projects.
  • Conduct data analysis to gain deeper understanding of current methods, enabling improved characterization of methods.
  • Perform data wrangling, statistical analysis and interpretation to enable data-driven decision-making and facilitate data interpretation.
  • Develop and optimize computational tools and pipelines to support scientific research and data interpretation.
  • Diligently generate thorough documentation for development, research and pipeline execution efforts to ensure clarity and compliance.
  • Stay up-to-date with the latest data science trends, bioinformatics technologies, and best practices.

Requirements:
  • Advanced degree in Data Science, Bioinformatics, Computational Biology, Genomics, or a related field (or equivalent work experience). Ph.D. + 1 year of experience or Masters degree with 6 years of experience
  • Solid understanding of molecular biology, genomics, and next-generation sequencing (NGS) technologies with demonstrated ability to evaluate and select bioinformatics tools and build data analysis pipelines for NGS assays.
  • Familiarity with CRISPR based gene editing technologies and assays is a plus.
  • Demonstrated experience with bioinformatics tools and software (e.g., Samtools, BAM tools, GATK and other state-of-the-art variant calling tools for small indels, SNPs and large structural variations, etc.).
  • Ability to independently analyze complex / multidimensional genomic data, create visualizations and drive decision making, storytelling through presentation of data.
  • Strong proficiency in Python programming language. Additional languages including R are a plus. Proficiency with the Linux OS and command-line environment.
  • Familiarity with version control and code management sch as Git.
  • Familiarity with high-performance cloud platforms and related tools for high throughput computing. (e.g., AWS, NextFlow, Batch)
  • Strong problem-solving skills with outside the box thinking and attention to detail.
  • Excellent communication skills and the ability to work in a collaborative, interdisciplinary environment on an on-going basis.
  • Communicate results effectively through reports and presentations to internal stakeholders.
  • Assist in generating material to present findings to external clients and contribute to preparation of scientific publications.
  • Ability to manage multiple projects and deadlines in a fast-paced setting.

The compensation package for this role includes a base salary of up to $140,000 (depending on experience), annual bonus, and equity. MaxCyte also offers a comprehensive benefits package including health, dental, vision, life, and disability insurance and generous time off.

MaxCyte is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.

Compensation details: 00 Yearly Salary

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MaxCyte, Inc

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16 days ago

Director Data Scientist - Bank AI/ML (Model Development)

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is available for this position.

What you'll do:
  • Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation.
  • Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.
  • Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation.
  • Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives.
  • Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization.
  • Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations.
  • Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.
  • Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
  • Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
  • 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
  • 3 years of direct management experience.
  • Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences.
  • Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.
  • Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
  • Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.
  • Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
  • A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
  • Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.

What sets you apart:

  • Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services.
  • Strong communication skills with the ability to influence stakeholders and align cross-functional teams.
  • Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment.
  • Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization.

Compensation range: The salary range for this position is: $189,370 - $361,950.

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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USAA

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16 days ago

Data Scientist Lead - Bank AI/ML

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Data Scientist Lead will work closely with the Data Science Director to ensure that AI/ML modeling solutions are successfully developed and implemented. This will involve supervising multiple projects/initiatives, providing technical expertise, ensuring quality results, and mentor and leading Senior and Junior Data Scientists. Through cross-team collaboration, the lead works to understand business problems to formulate and coordinate AI/ML solutions in the Consumer Lending, Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting mentality and be a subject matter expert in model building, communication, and leadership. As a dedicated Data Scientist Lead, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. The person will use database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, expanding the company's library of internal packages and applications. The incumbent will work with model risk management to validate the results and stability of models before being pushed to production at scale. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is available for this position. What you'll do:
  • Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business.
  • Leads and conducts advanced analytics using machine learning, simulation, and optimization to deliver business insights and achieve business objectives.
  • Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
  • Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
  • Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences.
  • Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts.
  • Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are clear and based on the highest quality data.
  • Assists team with translating business request(s) into specific analytical questions, driving analysis and/or modeling, and presenting outcomes to non-technical business colleagues with a focus on business action and recommendations.
  • Leads project portfolio achievements, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed.
  • Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
  • Interacts with internal and external peers and management to maintain expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
  • Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other social skills.
  • Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture.
  • Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
What you have:
  • Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
  • 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area and 6 years of experience in predictive analytics or data analysis.
  • 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
  • 4 years of experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
  • Experienced ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code clarity).
  • Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
  • Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
  • Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
  • Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
  • Project management experience that demonstrates the ability to anticipate and appropriately lead project achievements, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation.
  • Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc.
  • Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
  • Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building.
  • Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
  • A consistent track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
  • Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization.
What sets you apart:
  • Extensive model building experience (preferably in banking) covering a variety of AI/ML and traditional statistical modeling approaches.
  • Extensive hands-on experience preparing data and code for modeling.
  • Experience with the entire model lifecycle, including conceptualization, development, implementation, validation, and ongoing performance monitoring.
  • Experience working directly with clients, customers, or internal business partners.
  • Experience leading client or customer relationships and expectations, including senior leadership.
Compensation range: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness . click apply for full job details
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USAA

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21 days ago

Data Scientist Senior - Fraud Identity Analytics

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Data Scientist - Fraud Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes:
  • Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts
  • Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities
  • Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes
  • Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits
  • Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience
  • Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance
  • Exports insights to decision systems to enable better fraud targeting and model development efforts
  • Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks
  • Collaborate with the broader analytics community to share standard methodologies and techniques
What you'll do:
  • Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
  • Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
  • Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
  • Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
  • Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
  • Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
  • Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
  • Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
  • Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation.
  • Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
  • Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
  • Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
  • Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
  • Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
What you have:
  • Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
  • 6 years of experience in a predictive analytics or data analysis
  • 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
  • 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
  • Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency).
  • Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
  • Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
  • Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
  • Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
  • Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
  • Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
  • Experience guiding and mentoring junior technical staff in business interactions and model building.
  • Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.
What sets you apart:
  • US military experience through military service or a military spouse/domestic partner
  • Graduate degree in a quantitative subject area
  • Over 4 years of experience with model development or other advanced fraud detection algorithms
  • Over 3 years of experience with graph databases and graph solutions
  • Experience in fraud/financial crimes model development
Compensation: The salary range for this position is: $138,230 - $248,810. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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USAA

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21 days ago

Sr Data Scientist, Salt Lake City, UT

Sr Data Scientist, Salt Lake City, UT Date: Jul 24, 2025 Location: Salt Lake City, UT, US, 84116 Company: PacifiCorp POWER YOUR GREATNESS

PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability and diversity, equity and inclusion.

General Purpose

The senior data scientist applies advanced statistical data modeling techniques to large data sets to create actionable business insights. Uses statistical analysis software packages and business intelligence and analytics platforms to create dashboards and reporting capabilities. Incumbent designs, develops and deploys algorithms through statistical programming that: support complex business decision making, manage large amounts of data and create visualization and insights.

Responsibilities
  • Serves as a primary contributor to asset management center of excellence and BHE data and analytics initiatives and projects in an analytics model and software development role by defining and clarifying technical project scope, developing technical approach and architecture and performing root cause analysis in support of addressing and correcting data-related issues.
  • Extracts, transforms and loads all source system data needed for each model implemented within the asset performance management mining software. Builds asset performance mining data models and monitors and optimizes the performance of all data queries to ensure ideal response times.
  • Communicates priorities, requirements and operational impacts and aligns with manager expectations with affiliate stakeholders in projects and department activities.
  • Documents technical and data requirements gathering and extract, transform, load (ETL) working with IT teams to identify source system tables and fields that need to be brought into the data mining and other software; collaborates with relevant business experts to validate data and system deliverables.
  • Develops data science model, code, ETL and software engineering deliverables in an Agile development activity cycle and performs system analysis, develops use cases, and identifies necessary model/system changes within code based upon specific requirements for the business.
  • Collaborates with vendor(s) on technology and software considerations, advises on adoption and timing of software patches and upgrades, identifies and communicates risks associated with operations with an emphasis on appropriate internal control considerations, supports investigation and remediation of operational issues.
Requirements
  • Bachelor's degree in computer science, mathematics, software engineering or a related technical field.
  • A minimum of five years of related work experience, primarily in a data science, modeling and administration role. Experience with data analytics and/or data mining technologies is essential.
  • Demonstrated knowledge and experience working with any one of the following is required: Python, R, VenSim, Extend, Arena, Celonis, SSAS, SPSS, MATLAB, SAS/STAT or other advanced operations modeling software related to data science, business intelligence and analytics. Capabilities in more than one area are a plus.
  • Demonstrated experience in creating, processing, and analyzing geospatial data using both vector and raster formats, including proficiency with GIS tools and spatial data libraries (e.g., QGIS, ArcGIS, GDAL, GeoPandas).
  • Familiarity with weather-related applications, including the integration and analysis of meteorological data (e.g., precipitation, temperature, wind patterns) for forecasting, modeling, or environmental monitoring purposes.
  • Experience participating in transformation projects and managing a variety of organizational stakeholders and goals. Strong project management skills; ability to prioritize and handle multiple projects concurrently.
  • Effective analytical, problem-solving and decision-making skills to appropriately monitor and manage solutions and data throughout business.
  • Proven ability to work effectively in a collaborative, multidisciplinary team environment, contributing to shared goals through clear communication, knowledge sharing, and proactive problem-solving.
  • Demonstrated ability to understand and utilize computer systems and applications. Strong personal computer skills; proficiency in Microsoft Office. Familiarity with virtual collaboration tools (Microsoft Teams, SharePoint, M365, One Drive, etc.)
  • Experience in process improvement methodologies (Six Sigma, Lean, or other formalized improvement methodologies) is a plus.
  • Experience with asset performance or reliability improvement methods is a plus.
  • Excellent verbal and written communication skills, ability to work with both internal and external stakeholders at various levels throughout the organization. Strong leadership skills, effective interpersonal skills and ability to work independently and as part of a team.
Preferences
  • Masters in data science or related technical field preferred.
Additional Information

Req Id: 113905 Company Code: Pacificorp Primary Location: Salt Lake City Department: Power Delivery Schedule: Days Personnel Subarea: Exempt Hiring Range: $119,400-$ 154,400

This position is eligible for an annual discretionary performance incentive bonus of up to 15.00% of salary.

Benefits: Health care, retirement, paid time off, tuition assistance, paid short-term and long-term disability, paid bereavement leave. For more information, please visit:

Employees must be able to perform the essential functions of the position with or without an accommodation.

At PacifiCorp, we celebrate diversity, equity and inclusion. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations.

Career Segment: Test Engineer, Testing, Software Engineer, Lean Six Sigma, Six Sigma, Engineering, Technology, Management

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PacifiCorp

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21 days ago