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We’re looking for a Sr. Manager Data Scientist to join Walmart’s Inventory Capabilities team, driving the next generation of inventory science and strategy. This individual contributor role will shape models and systems that maximize our Customer Value Proposition (CVP) by ensuring the right items are in the right place, at the right time, in the right quantity — at the lowest cost. You’ll design, implement, and scale algorithms that connect data science, advanced analytics, and business execution to transform Walmart’s inventory placement, safety stock targets, forecasting, and exits. This is a high-visibility role where your work directly impacts customer availability, delivery speed, cost to serve, and sales growth.
Job Responsibility
Applied Research: Analyze large-scale datasets to refine model inputs (forecasts, cost structures, constraints) and improve accuracy and scalability
Model Development: Design and deliver new models and algorithms across forecasting, placement, inventory targets, safety stock, and exits to optimize cost, speed, and customer experience
Optimization & Machine Learning: Apply advanced techniques in optimization, probabilistic forecasting, and ML to improve efficiency and resilience across Walmart's global network
End-to-End Execution: Lead projects from framing business problems, to building and validating models, to partnering with engineering for deployment
Collaboration & Influence: Translate science into strategy, working with Merchandising, Supply Chain, and Tech partners to align on priorities and deliver measurable impact
Future-Focused Capabilities: Advance scenario modeling, dynamic inventory placement, multi-echelon optimization, and placement orchestration for omni-channel fulfillment
Requirements
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.
Strong expertise in applied data science and advanced analytics (optimization, forecasting, simulation, machine learning)
Comfortability operating at both strategic and technical depth — from building models to influencing enterprise priorities
Experience simplifying complex science for senior leaders and business partners to drive adoption and decision-making
Ability to excel in ambiguous, high-pressure environments with multiple stakeholders and competing priorities
A passion for solving global-scale inventory optimization challenges that directly improve customer experience
MBA, MS, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Operations Management, or Supply Chain Management
Experience implementing data science models using modern programming languages (e.g., Python, PySpark, R) and using large dataset mining tools (e.g., SQL)
Experience with advanced analytical modeling tools, network optimization, and long-range planning
Extensive experience or knowledge of eCommerce, retail and supply chain domains and related information systems — search, impressions, conversion, distribution/transportation, sourcing, planning, manufacturing, and inventory management
Retail industry experience
Nice to have
Data science
machine learning
optimization models
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
Successful completion of one or more assessments in Python, Spark, Scala, or R
Supervisory experience
Using open source frameworks (for example, scikit learn, tensorflow, torch)
background in creating inclusive digital experiences
knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
assistive technologies
integrating digital accessibility seamlessly
knowledge of accessibility best practices
What we offer
competitive pay
performance-based bonus awards
medical
vision
dental
401(k)
stock purchase
company-paid life insurance
PTO (including sick leave)
parental leave
family care leave
bereavement
jury duty
voting
short-term and long-term disability
company discounts
Military Leave Pay
adoption and surrogacy expense reimbursement
Live Better U (Walmart-paid education benefit program)