Position Summary...
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.What you'll do...
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.
What you'll Bring...
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
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
For information about PTO, see .
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
For information about benefits and eligibility, see .
The annual salary range for this position is $110,000.00-$220,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.Preferred Qualifications...
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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.Primary Location...
601 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job.