The Role
Leads data science initiatives developing scalable supply chain network models for strategic decisions. Evaluates node locations, capacity, inventory and demand flows, transportation, fulfillment design, cost-to-serve, and capital investments. Uses Python, SQL, optimization, simulation, and AI to build decision-support tools, partners with cross-functional stakeholders, mentors team members, and communicates analytical insights to senior leaders.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
The Senior Manager, Data Science, leads Data science to develop and scale supply chain network models that support strategic decisions. The role requires hands-on capability in network design, capacity modeling, cost-to-serve, scenario analysis, optimization, and data visualization. This leader partners with cross-functional stakeholders, mentors team members, and ensures models are accurate, scalable, and grounded in operational reality. The successful candidate will structure complex network problems, evaluate tradeoffs across nodes and fulfillment paths, and build repeatable decision-support tools using strong programming skills. Experience in supply chain analytics, network design, operations research, optimization, capacity planning, or transportation modeling is strongly preferred.
About the team:
The Supply Chain Strategy team shapes Walmart’s long-term network through data-driven strategy, advanced modeling, and cross-functional decision support. The team evaluates strategic node locations, network roles and capabilities, long-range capacity needs, inventory and customer demand flows, transportation design, cost-to-serve, and capital investments. Partnering across Operations, Transportation, Inventory, Finance, Product, Technology, Real Estate, Engineering, and Program Management, the team develops scalable analytical frameworks using Python, SQL, optimization, simulation, and AI. These insights guide enterprise decisions on asset strategy, capacity expansion, fulfillment design, network evolution, customer speed, operating cost, and multi-year capital deployment.
What you'll do:
What you'll bring:
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
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
The Senior Manager, Data Science, leads Data science to develop and scale supply chain network models that support strategic decisions. The role requires hands-on capability in network design, capacity modeling, cost-to-serve, scenario analysis, optimization, and data visualization. This leader partners with cross-functional stakeholders, mentors team members, and ensures models are accurate, scalable, and grounded in operational reality. The successful candidate will structure complex network problems, evaluate tradeoffs across nodes and fulfillment paths, and build repeatable decision-support tools using strong programming skills. Experience in supply chain analytics, network design, operations research, optimization, capacity planning, or transportation modeling is strongly preferred.
About the team:
The Supply Chain Strategy team shapes Walmart’s long-term network through data-driven strategy, advanced modeling, and cross-functional decision support. The team evaluates strategic node locations, network roles and capabilities, long-range capacity needs, inventory and customer demand flows, transportation design, cost-to-serve, and capital investments. Partnering across Operations, Transportation, Inventory, Finance, Product, Technology, Real Estate, Engineering, and Program Management, the team develops scalable analytical frameworks using Python, SQL, optimization, simulation, and AI. These insights guide enterprise decisions on asset strategy, capacity expansion, fulfillment design, network evolution, customer speed, operating cost, and multi-year capital deployment.
What you'll do:
- Shape Walmart’s long-term supply chain network through data-driven strategy and advanced modeling.
- Evaluates strategic node locations, network roles, capacity needs, inventory and demand flows, transportation, cost-to-serve, and capital investments.
- Partners across Operations, Transportation, Finance, Product, Technology, Real Estate, Engineering, and Program Management.
- Uses Python, SQL, optimization, simulation, and AI to translate long-range growth into scalable network plans.
- Informs asset strategy, capacity expansion, fulfillment design, and multi-year capital deployment.
What you'll bring:
- Experience applying data science, analytics, optimization, simulation, or network design to complex supply chain problems.
- Experience in fulfillment, distribution, transportation, inventory flow, network design, or eCommerce environments at scale.
- Strong SQL skills, with the ability to independently extract, manipulate, validate, and analyze large datasets.
- Experience building analytical and modeling solutions using Python or similar tools.
- Experience with optimization, network modeling, capacity planning, scenario analysis, or cost-to-serve modeling.
- Strong communication skills and the ability to summarize complex analytical work clearly for senior leaders.
- AI fluency and curiosity, with practical mindset toward leveraging AI to improve modeling speed, analytical quality, and decision-making.
- Bachelor’s degree required; Master’s or PhD preferred.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
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
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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 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. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 5 years of experience in an analytics-related field
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 3 years of experience in an analytics-related field
- Seven years of experience in analytics or a related field
- Experience applying data science, analytics, optimization, simulation, or network design to complex supply chain problems
- Experience in fulfillment, distribution, transportation, inventory flow, network design, or eCommerce environments at scale
- Strong SQL skills, including independently extracting, manipulating, validating, and analyzing large datasets
- Experience building analytical and modeling solutions using Python or similar tools
- Experience with optimization, network modeling, capacity planning, scenario analysis, or cost-to-serve modeling
- Strong communication skills for clearly summarizing complex analytical work to senior leaders
- Bachelor's degree
- Data science, machine learning, and optimization model experience
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Successful completion of assessments in Python, Spark, Scala, or R
- Supervisory experience
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
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The Company
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
