(USA) Staff, Data Scientist

Walmart • Hoboken, NJ

2d • $132,000 - $286,000

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 successful candidate brings analytical judgment and measurement expertise, connects technical and business perspectives, provides guidance, and collaborates with cross-functional teams to turn complex analytical challenges into practical business solutions.

The role is part of the Media Insights team, which delivers actionable insights to optimize investments with Walmart Connect. The team analyzes media performance to help agencies, technology partners, and advertisers improve strategies and drive growth. It uses advanced data analysis, statistical methods, and predictive modeling to turn complex data into market-facing insights, while collaborating across functions to ensure data quality and effective model deployment that supports business decisions.

This position is listed for San Bruno, California, and Hoboken, New Jersey. The annual salary range is $143,000–$286,000 for San Bruno and $132,000–$264,000 for Hoboken. Additional compensation includes annual or quarterly performance bonuses; 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.
• Expertise 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 paths: 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 experience in an analytics-related field; 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 creating inclusive digital experiences and knowledge of implementing WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

• Partner on high-priority measurement and methodology initiatives, emphasizing 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 and partner with subject matter experts to develop recommendations and resolve issues.

Benefits

• Competitive pay and performance-based bonus awards.
• 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 and Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
• Live Better U, a Walmart-paid education benefit program that covers tuition, books, and fees for eligible programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior