Director, Data Science, Network Design - International Supply Chain

Position Summary

Lead the data science and optimization engine behind International Supply Chain network design. You’ll turn complex questions on fulfillment nodes, inventory placement, and capacity strategy into scalable analytical solutions that improve delivery speed, cost‑to‑serve, and network performance. This is a high‑impact role partnering with Network Design and senior Supply Chain leaders to shape investment decisions and long‑term strategy.

International Supply Chain Network Design builds the blueprint for how our fulfillment network evolves to meet customer demand efficiently and reliably. The team combines strategy, analytics, and cross‑functional partnership to evaluate scenarios, quantify tradeoffs, and guide decisions across nodes, lanes, and capacity. This role elevates decision quality by bringing rigorous modeling, strong data foundations, and executive‑ready insights to the table.

• Translate network design and capacity questions into optimization, simulation, and ML frameworks.
• Build, validate, and deploy models that quantify tradeoffs, ROI, and performance impacts.
• Define data needs, assess sources, and set quality standards for modeling inputs.
• Deliver executive storytelling and visualizations that drive alignment and decisions.
• Lead and mentor data science talent; establish analytics and modeling best practices.

• Deep experience applying optimization, simulation, and/or machine learning to supply chain decisions.
• Proven ability to frame ambiguous business problems into measurable analytical deliverables.
• Strong model validation, documentation, and production deployment/lifecycle management discipline.
• Expertise communicating complex insights to senior technical and non‑technical stakeholders.
• Track record partnering across Supply Chain, Product & Technology, Finance, and Marketplace teams.

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years experience in an analytics related field.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field.
• 8 years experience in an analytics or related field.

• 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, tensor flow, 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.
  
  The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible productsและบริการ following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

703 Associate Dr, Bentonville, AR 72716, United States of America

Benefits include competitive pay, performance‑based bonuses, health (medical, vision, dental) coverage, 401(k), stock purchase programs, company‑paid life insurance, paid time off (PTO, sick leave, parental leave, family care leave, bereavement, jury duty, voting), short‑term and long‑term disability, military leave pay, adoption and surrogacy expense reimbursement, and other company discounts. PTO and/or PPTO may be used for vacation, sick leave, holidays, or other purposes.

The amount received depends on job classification and length of employment and meets or exceeds applicable paid sick leave laws.

Walmart and its subsidiaries are committed to maintaining a drug‑free workplace. Walmart, Inc. is an Equal Opportunity Employer‑By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we know them. That means understanding, respecting, and valuing diversity—unique styles, experiences, identities, abilities, ideas and opinions—while being inclusive of all people.