Senior, Data Scientist - Workforce Intelligence
About The Position
Workforce Intelligence is the engine behind Walmart’s labor allocation strategy. We enable optimal labor planning for ~1.6M associates across ~4,600 stores by designing and delivering forecasting solutions that help our stores operate efficiently and provide exceptional customer experiences. Our work blends machine learning, advanced analytics and statistics, GenAI, and deep operational and financial data to predict labor demand with high precision—ensuring the right associates are in the right place at the right time. Join Walmart’s Workforce Forecasting team as a Senior Data Scientist and help shape the future of labor forecasting at Fortune 1 scale. This is a high-impact opportunity to drive workforce solutions, improve forecasting and allocation, and influence operational excellence across the enterprise.
Requirements
- Master’s degree in a relevant field (Business Analytics, Data Science, Statistics, Software Engineering, ML Engineering, Computer Science)
- 3+ years’ experience in building and delivering real life data science products in relevant industry (Workforce/Store Ops experience plus)
- Strong technical acumen in SQL, Python, ML/AI, Statistics (GenAI hands-on experience preferred)
- A self-directed, curious, outcome-oriented mindset—able to operate with minimal supervision and drive work forward independently.
Nice To Haves
- Experience in retail or supply chain environments is a plus
- Supervising Associates
- Masters: Economics
- Project Management - Project Management Professional - Certification
Responsibilities
- Partner cross functionally across Store Operation, Supply Chain, Transportation and Workforce Intelligence team to understand the current business and future scope and translate them into labor forecasting strategy
- Work with the forecasting team to develop new forecasting capabilities to support the aligned broader labor strategy
- Improve the accuracy and robustness of the end-to-end forecasting suite through innovative modeling approaches and optimization techniques
- Work closely with the internal team and finance to provide Business As Usual (BAU) and Annual Operating Plan (AOP) forecasts
- Leverage GenAI and ML/AI algorithms to help build a scalable platform that supports automation across the model lifecycle (runs, evaluation, data validation, drift monitoring, and deployment).
- Work with partner teams (e.g., Labor Generation, Industrial Engineering) to identify process gaps and develop data science solutions that improve business outcomes.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
