Lead a team to design, build, and deploy production-grade end-to-end AI systems (generative AI, agentic intelligence, recommendation, measurement/causal inference). Drive technical strategy, mentor data science and engineering teams, and align AI roadmap with product, UX, and business stakeholders to deliver supplier-facing insights at scale.
Position Summary...What you'll do...Role summary:
As the Director of Data Science for the Walmart Data Ventures Tech team, you will lead the development and deployment of production-grade, end-to-end supplier-facing AI systems. You will spearhead high-impact initiatives across generative AI, agentic intelligence, and machine learning to power our advanced insights platform. This critical leadership role combines technical excellence, strategic AI-first product vision, and people management. You will guide a world-class team to build scalable AI solutions that directly optimize operations, unlock new business models, and redefine the retail ecosystem for the world's largest retailer and its global network of suppliers.
About the team:
Walmart Data Ventures powers the data and AI platform supporting the world’s largest retailer’s suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem.
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.
Bentonville, Arkansas US-09158: The annual salary range for this position is $130,000.00 - $260,000.00
Sunnyvale, California US-11657: The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 years' experience in an analytics or related fieldPreferred Qualifications...
As the Director of Data Science for the Walmart Data Ventures Tech team, you will lead the development and deployment of production-grade, end-to-end supplier-facing AI systems. You will spearhead high-impact initiatives across generative AI, agentic intelligence, and machine learning to power our advanced insights platform. This critical leadership role combines technical excellence, strategic AI-first product vision, and people management. You will guide a world-class team to build scalable AI solutions that directly optimize operations, unlock new business models, and redefine the retail ecosystem for the world's largest retailer and its global network of suppliers.
About the team:
Walmart Data Ventures powers the data and AI platform supporting the world’s largest retailer’s suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem.
What you'll do:
- Own E2E AI Systems: Lead the end-to-end lifecycle, from research to production deployment, of sophisticated AI systems supporting different Scintilla product lines.
- Drive Technical Innovation: Scale advanced capabilities in generative AI, agentic intelligence, B2B recommendation platforms, measurement and causal inference to solve complex enterprise retail challenges.
- Lead and Mentor: Champion a high-performing culture, managing and mentoring a talented team of data scientists, machine learning engineers and software engineers.
- Collaborate Cross-Functionally: Partner closely with product, engineering, UX and business leaders to align the AI roadmap with overarching Scintilla strategies and supplier needs.
What you'll bring:
- Thought Leadership: Extensive experience pioneering enterprise AI strategies and mentoring high-performing data science teams.
- E2E Technical Rigor: A proven track record deploying production-grade, end-to-end AI systems with a meticulous attention to detail regarding scalability and accuracy.
- Strategic Influence: Exceptional ability to heavily influence the product roadmap in a data-driven way, translating complex insights into clear business strategies.
- Industry Context: Familiarity with the retail business ecosystem is a strong plus
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.
Bentonville, Arkansas US-09158: The annual salary range for this position is $130,000.00 - $260,000.00
Sunnyvale, California US-11657: The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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 6 years' experience in an analytics related field.Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 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, 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...2608 Se J St, Bentonville, AR 72716-3724, 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.Walmart Global Tech Sunnyvale, California, USA Office
840 W California Ave, Sunnyvale, CA, United States, 94086
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads to consult customers on insurance needs, match coverages, and close policies. Complete paid training and obtain Property & Casualty license. Work remotely with a required professional home workspace, scheduled shifts including one weekend day, and meet sales and performance goals.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Perform preliminary website compliance audits and independently manage monthly OEM compliance submissions to third-party auditors. Troubleshoot issues with agencies, communicate remediation steps to clients and internal teams, log and track compliance cases, collaborate with cross-functional teams, and develop brand-specific subject-matter expertise.
Fintech • Information Technology • Software • Financial Services
Own end-to-end enterprise sales to top US banks: build relationships, conduct discovery, craft solutions, manage multi-threaded sales cycles, lead negotiations, and close deals while collaborating cross-functionally.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



