Senior, Data Scientist - Workforce Intelligence

Walmart•Bentonville, AR

1d•Onsite

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)
Experience in retail or supply chain environments is a plus
A self-directed, curious, outcome-oriented mindset —able to operate with minimal supervision and drive work forward independently.
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
5 years' experience in an analytics or related field.

Nice To Haves

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.