(USA) Senior Manager, Data Science - Supply Chain Strategy

Walmart•Bentonville, AR

About The Position

As a Senior Manager, Data Science – Supply Chain Strategy, you will help advance Walmart’s eCommerce fulfillment strategy through high-impact supply chain initiatives focused on transportation, network design, customer speed, and fulfillment cost. You will be expected to leverage AI as a practical enabler to improve speed, quality, and decision-making across analysis, synthesis, and communication. This role is best suited for someone who combines strong supply chain depth with hands-on analytical and modeling capability, and who can connect technical work to practical business decisions. You will go deep on established strategic priorities, build scalable analytical frameworks and modeling approaches, and bring together analytical work, operational inputs, and cross-functional expertise into a coherent long-term fulfillment and transportation strategy. What you'll do... What You’ll Do Build scalable analytical frameworks and modeling approaches to support long-term fulfillment and transportation strategy. Independently extract, manipulate, validate, and analyze data using SQL as part of regular work. Build models using Python or similar analytical tools to evaluate fulfillment, transportation, and network design opportunities. Apply optimization and network modeling to solve complex supply chain problems tied to speed, cost, and network efficiency. Leverage AI to improve speed, quality, and decision-making across analysis, synthesis, and communication. Go deep on established strategic priorities and translate analytical insights into practical recommendations that can scale. Integrate analytical work, operational inputs, and cross-functional expertise into a coherent eCommerce fulfillment strategy. Drive cross-functional alignment and execution across Transportation, Supply Chain Operations, Marketplace/eCommerce, Technology, and Finance. Support capital planning, investment decisions, and business case development tied to strategic supply chain initiatives. Communicate analyses and recommendations clearly to cross-functional stakeholders and leadership partners. What You’ll Bring Strong supply chain experience required. Experience applying data science, analytics, modeling, optimization, or network design to solve complex business problems. Experience in fulfillment, transportation, parcel, or network design environments at scale is strongly preferred. Strong SQL skills, with the ability to independently extract, manipulate, and validate data. Experience building models using Python or similar analytical tools. Experience with optimization and network modeling. Track record of building and driving strategic initiatives end to end. Ability to connect analytical outputs to operational reality and work effectively with strong operator stakeholders. Ability to drive cross-functional alignment and execution through influence, without direct ownership of all resources. Strong communication skills and the ability to summarize complex work clearly and practically. AI fluency and curiosity, with a practical mindset toward leveraging AI to improve speed, quality, and decision-making. Bachelor’s degree required; Master’s or PhD preferred. ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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. 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. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 805 Respect, Bentonville, AR 72716, United States of America Walmart 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. This policy applies to all employees and aims to create a safe and productive work environment. About Walmart: Fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we're reinventing the shopping experience and our associates are at the heart of it. You'll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. Join our family and create a career you're proud of.

Requirements

Strong supply chain experience required.
Experience applying data science, analytics, modeling, optimization, or network design to solve complex business problems.
Experience in fulfillment, transportation, parcel, or network design environments at scale is strongly preferred.
Strong SQL skills, with the ability to independently extract, manipulate, and validate data.
Experience building models using Python or similar analytical tools.
Experience with optimization and network modeling.
Track record of building and driving strategic initiatives end to end.
Ability to connect analytical outputs to operational reality and work effectively with strong operator stakeholders.
Ability to drive cross-functional alignment and execution through influence, without direct ownership of all resources.
Strong communication skills and the ability to summarize complex work clearly and practically.
AI fluency and curiosity, with a practical mindset toward leveraging AI to improve speed, quality, and decision-making.
Bachelor’s degree required; Master’s or PhD preferred.

Nice To Haves

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

Responsibilities

Build scalable analytical frameworks and modeling approaches to support long-term fulfillment and transportation strategy.
Independently extract, manipulate, validate, and analyze data using SQL as part of regular work.
Build models using Python or similar analytical tools to evaluate fulfillment, transportation, and network design opportunities.
Apply optimization and network modeling to solve complex supply chain problems tied to speed, cost, and network efficiency.
Leverage AI to improve speed, quality, and decision-making across analysis, synthesis, and communication.
Go deep on established strategic priorities and translate analytical insights into practical recommendations that can scale.
Integrate analytical work, operational inputs, and cross-functional expertise into a coherent eCommerce fulfillment strategy.
Drive cross-functional alignment and execution across Transportation, Supply Chain Operations, Marketplace/eCommerce, Technology, and Finance.
Support capital planning, investment decisions, and business case development tied to strategic supply chain initiatives.
Communicate analyses and recommendations clearly to cross-functional stakeholders and leadership partners.