Position Summary...What you'll do...Lead the design and delivery of production ML and GenAI/agentic systems that power merchant productivity and operational intelligence across Walmart's Pricing, Forecasting, Store Ops, Transportation, and Supply Chain domains. You'll set the technical direction for how we apply GenAI and core ML to drive measurable business impact at Walmart scale.
What you'll do:- Lead a team of applied scientists in developing innovative AI-driven solutions.
- Build and ship GenAI applications using the latest agentic frameworks to automate merchant and operator workflows and unlock significant time savings.
- Design and deploy models and agents that automatically investigate anomalies across merchandising, supply chain, and store operations surfacing the "why" behind business signals.
- Research and integrate state-of-the-art techniques across LLMs, agents, retrieval, and classical ML; mentor scientists and engineers and set the technical bar for the team.
- Partner cross-functionally with product, engineering, and business stakeholders to translate ambiguous problems into well-scoped, high-impact AI solutions.
What you'll bring: - 6+ years of Applied Scientist / MLE experience with a strong track record of shipping ML models to production in high-scale environments, ideally across multiple domains (pricing, forecasting, supply chain, ops).
- Deep core ML/AI fundamentals (supervised, deep learning, time-series, causal/RCA) combined with heavy hands-on GenAI experience LLMs, RAG, fine-tuning, evaluations, agent orchestration, tool use, and MCP.
- Strong MLE and software engineering chops, production-grade Python, distributed systems, ML pipelines, CI/CD for ML, and model monitoring.
- Experience with large-scale data systems (Spark/Hive) and cloud platforms (GCP / Azure).
- Excellent communication and technical leadership skills, with a proven ability to influence cross-functional teams and drive ambiguous projects from zero to production impact.
Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
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 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, 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 America
