As the Senior Director of Data Science for Commerce Foundational Models, you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart’s next-generation intelligence layer. You will be responsible for the vision, strategy, and execution of large-scale foundational models trained on our massive, multi-modal dataset encompassing billions of customer touch points, transaction histories, search queries etc. Your models will serve as the AI engine powering critical consumer facing and enterprise products across Walmart’s ecosystem, including Search, Personalization, Sponsored Ads, Conversational Commerce, and Supply Chain Forecasting.
About the team:
The AI and Data organization integrates essential capabilities to leverage AI and data as strategic assets across Walmart. It develops and manages shared platforms, intelligence, and decision systems that enhance customer experiences, empower associates, and deliver measurable business outcomes. Within this org, the Retail Intelligence group focuses on creating and deploying scalable AI models and services that bring advanced AI capabilities to Walmart’s products and operations efficiently. The team collaborates closely with stakeholders to drive data strategy, machine learning innovation, and business insights, supporting Walmart’s commitment to operational excellence and continuous improvement.
What you'll do:
Key Responsibilities
- Technical Vision & Strategy: Define the multi-year roadmap for Walmart’s Commerce Foundational Models. Drive the paradigm shift from siloed, domain-specific models to unified, multi-task generative architectures
- High-Scale Engineering Leadership: Lead a world-class team of Applied AI Researchers, Machine Learning Engineers, and Data Scientists.
- Horizontal Collaboration & Influence: Partner closely with product, engineering, and business leaders across Search, Ads, Personalization, and Customer Experience to ensure foundational models are seamlessly integrated, delivering massive business value.
- Evangelism & Adoption: Serve as the primary champion for foundational models within Walmart Global Tech.
Minimum Qualifications
- Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a highly quantitative field.
- 8+ years of experience directly managing and scaling high-performing data science and ML engineering teams, with at least 3+ years managing managers.
- Proven track record of designing, training, and deploying deep learning models in production at massive scale
- Deep understanding of distributed training frameworks
Preferred Qualifications
- Ph.D. in CS, ML, or a related field with a strong publication record in top-tier AI/ML conferences
- Domain Expertise in Commerce/RecSys and experience building Generative Recommenders, Hierarchical Sequential Transducers(HSTU) or sequence-based models for user behavior representation.
- Deep knowledge of low-latency inference optimization techniques, real-time retrieval.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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.
Sunnyvale, California US-11656: The annual salary range for this position is $208,000.00 - $416,000.00
Bentonville, Arkansas US-10735: The annual salary range for this position is $160,000.00 - $320,000.00 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: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,
Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related
field.
3 years' supervisory experience.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...1375 Crossman Ave, Sunnyvale, CA 94089-1114, 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
- Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a highly quantitative field.
- 8+ years managing and scaling high-performing data science and ML engineering teams, with at least 3+ years managing managers.
- Proven track record of designing, training, and deploying deep learning models in production at massive scale.
- Deep understanding of distributed training frameworks.
- Bachelor's or Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field with applicable years of experience (options provided), or 9 years' experience in an analytics related field.
- 3 years' supervisory experience.
- Ph.D. in CS, ML, or related field with publications in top-tier AI/ML conferences.
- Domain expertise in Commerce/RecSys and experience building generative recommenders or sequence-based user behavior models (e.g., HSTU).
- Knowledge of low-latency inference optimization techniques and real-time retrieval.
- Experience with open-source ML frameworks and tools (scikit-learn, TensorFlow, PyTorch) and assessments in Python, Spark, Scala, or R.
- Familiarity with accessibility best practices (WCAG 2.2 AA) and inclusive digital experiences.
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
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.








