(USA) Staff, Data Scientist

Wal-Mart Stores Texas, LL•San Bruno, CA

About The Position

Walmart Connect is seeking a Staff Data Scientist, Measurement Excellence to strengthen the quality, consistency, and business impact of its advanced measurement capabilities. The role partners across Measurement, Advanced Analytics, Data Science, Product, Engineering, Product Marketing, and business teams on complex measurement initiatives, shared standards and best practices, and evaluation of emerging methodologies. The ideal candidate brings strong analytical judgment and measurement expertise, connects technical and business perspectives, provides thoughtful guidance, and helps cross-functional teams turn complex analytical challenges into practical business solutions. The position is part of the Media Insights team, which analyzes media performance to help agencies, technology partners, and advertisers optimize investments and grow with Walmart Connect. The team uses advanced data analysis, statistical methods, and predictive modeling to turn complex data into market-facing insights, while collaborating across functions to support data quality, model deployment, and business decisions. The role partners on high-priority measurement and methodology initiatives, evaluates measurement approaches, identifies methodological risks and opportunities, helps develop practical frameworks and decision criteria, and serves as a resource for complex measurement questions. The annual salary range is $143,000–$286,000 in San Bruno, California, or $132,000–$264,000 in Hoboken, New Jersey. Additional compensation includes annual or quarterly performance bonuses, and certain positions may also include stock.

Requirements

Significant experience in measurement, data science, advanced analytics, econometrics, quantitative strategy, or a related field.
Experience with multiple measurement approaches, such as causal inference, experimentation, incrementality, attribution, or media mix modeling.
Ability to understand the assumptions, strengths, limitations, and appropriate applications of analytical methodologies.
Strong proficiency in programming languages such as Python and SQL for data analysis and model development.
Experience managing complex, ambiguous projects end-to-end, including risk management and change management.
Ability to collaborate effectively with cross-functional teams and senior leadership to deliver actionable insights.
Excellent communication skills to influence and guide stakeholders through analytical findings and recommendations.
One of the following minimum qualification pathways: a bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years of experience in an analytics-related field; a master’s degree in one of those fields and 2 years of analytics-related experience; or 6 years of experience in an analytics or related field.

Nice To Haves

Experience in data science, machine learning, or optimization models.
Ph.D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
Background in creating inclusive digital experiences, including knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and accessibility standards and guidelines.

Responsibilities

Partner on high-priority measurement and methodology initiatives, with a focus on analytical rigor, consistency, scalability, interpretability, and appropriate use.
Collaborate with subject matter experts to evaluate measurement approaches and provide structured, evidence-based recommendations on their application.
Identify methodological risks, limitations, inconsistencies, and opportunities to strengthen existing approaches.
Develop and refine practical frameworks and decision criteria with relevant teams to support consistent evaluation and application of measurement methodologies.
Serve as a trusted resource for complex measurement questions, partnering with subject matter experts to develop recommendations and resolve issues.
Collaborate across measurement, analytics, data science, product, engineering, product marketing, and business teams.

Benefits

Medical, vision, and dental coverage.
401(k), stock purchase, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
Walmart-paid Live Better U education benefit, including tuition, books, and fees for eligible programs.
Performance-based bonus awards; certain positions may also include stock.