The Role
Leads end-to-end data science and optimization solutions for supply chain labor planning. Designs mathematical models, translates operational problems into scalable technical solutions, and builds across data, analytics, optimization, and application layers. Partners with Operations, Product, Data Science, and Engineering while owning deployment, production support, automation, reliability, and platform improvements. Applies Python, SQL, operations research, forecasting, simulation, and constraint optimization to improve labor planning and measurable business outcomes.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
Lead the design and delivery of end-to-end solutions supporting Supply Chain Labor Optimization. This role translates complex business needs into scalable technical solutions across data, analytics, and application development. Responsibilities include understanding operational processes, defining technical approaches, developing and implementing solutions, and ensuring production stability. The role partners closely with Operations, Product, Data Science, Analytics, and Engineering while maintaining strong ownership from problem definition through delivery. Success requires technical depth, business understanding, independent problem-solving, and a focus on simplifying processes, automating manual work, and continuously improving the Labor Optimization platform.
About the team:
The Labor Optimization team builds the technology, data, and analytics solutions that power labor planning across Walmart Supply Chain. Our team brings together data science, data engineering, analytics, and software engineering to solve complex operational problems at scale. We are modernizing legacy processes into a unified platform that improves how labor is planned, optimized, and executed across the network. We operate as an end-to-end technology team, partnering closely with Operations and Product while maintaining ownership from problem definition and architecture through development, deployment, and ongoing improvement.
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
Lead the design and delivery of end-to-end solutions supporting Supply Chain Labor Optimization. This role translates complex business needs into scalable technical solutions across data, analytics, and application development. Responsibilities include understanding operational processes, defining technical approaches, developing and implementing solutions, and ensuring production stability. The role partners closely with Operations, Product, Data Science, Analytics, and Engineering while maintaining strong ownership from problem definition through delivery. Success requires technical depth, business understanding, independent problem-solving, and a focus on simplifying processes, automating manual work, and continuously improving the Labor Optimization platform.
About the team:
The Labor Optimization team builds the technology, data, and analytics solutions that power labor planning across Walmart Supply Chain. Our team brings together data science, data engineering, analytics, and software engineering to solve complex operational problems at scale. We are modernizing legacy processes into a unified platform that improves how labor is planned, optimized, and executed across the network. We operate as an end-to-end technology team, partnering closely with Operations and Product while maintaining ownership from problem definition and architecture through development, deployment, and ongoing improvement.
What you'll do:
- Design and deliver scalable solutions that support Labor Optimization across Walmart Supply Chain.
- Translate complex business and operational problems into effective technical solutions.
- Build across data, analytics, optimization, and application layers as needed.
- Partner with Operations, Product, Data Science, and Engineering to deliver end-to-end capabilities.
- Own solutions from initial problem definition through development, deployment, and production support.
- Identify opportunities to automate manual processes and improve existing ways of working.
- Troubleshoot complex issues across systems, data, and business processes.
- Improve the performance, reliability, and scalability of the Labor Optimization platform.
- Operate with autonomy, ownership, and a strong focus on delivering measurable business outcomes.
What you'll bring:
- Strong foundation in applied mathematics, statistics, optimization, and quantitative problem-solving.
- Experience developing mathematical models to solve complex operational and business problems.
- Knowledge of operations research techniques, including linear/integer programming, forecasting, simulation, and constraint optimization.
- Strong Python and SQL skills with experience working with large, complex datasets.
- Ability to translate ambiguous business problems into mathematical formulations and scalable solutions.
- Experience evaluating model performance, assumptions, tradeoffs, and sensitivity to changing inputs.
- Strong analytical thinking with the ability to explain complex quantitative concepts to non-technical partners.
- A practical mindset focused on applying modeling and optimization techniques to real-world operational decisions.
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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred 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, 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 and 4 years of experience in an analytics-related field
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years of experience in an analytics-related field
- 6 years of experience in an analytics or related field
- Experience developing mathematical models for complex operational and business problems
- Knowledge of operations research techniques, including linear or integer programming, forecasting, simulation, and constraint optimization
- Strong Python and SQL skills with experience working with large, complex datasets
- Ability to translate ambiguous business problems into mathematical formulations and scalable solutions
- Experience evaluating model performance, assumptions, tradeoffs, and sensitivity to changing inputs
- 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 one or more assessments in Python, Spark, Scala, or R
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch
- 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.
Walmart Global Tech Insights
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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.
