(USA) Distinguished, Data Scientist
Primary Location: 10900 Ne 4th St, Bellevue, WA 98004, United States of America
About the role
Walmart is seeking a Distinguished Data Scientist to shape the AI/ML vision for Global Governance across Security, Compliance, Privacy, Legal, Product Safety, Trade Compliance, and related domains. This senior individual contributor will combine deep expertise in machine learning, agentic AI, advanced analytics, and responsible AI with enterprise-level technical leadership. Partnering across Business, Product, Engineering, and Data Science, this leader will architect scalable AI solutions, establish reusable patterns and standards, mentor senior technical talent, and help transform complex governance workflows into intelligent, proactive, measurable capabilities while advancing an AI-first approach to both our products and how we build them.
The Global Governance Technology team develops advanced technology and AI solutions to safeguard Walmart, its associates, customers, and business operations across key governance and risk areas. The team addresses complex challenges in security, compliance, privacy, legal, ethics, product safety, and global trade. Emphasizing trust, explainability, reliability, and governance, the team leverages cutting-edge machine learning, generative AI, computer vision, graph intelligence, optimization, and automation to enable predictive, proactive, and intelligent decision-making that supports Walmart’s strategic objectives.
Responsibilities
- Define AI/ML strategy across Global Governance and lead development of production-scale AI solutions spanning risk intelligence, investigations, anomaly detection, computer vision, graph analytics, optimization, and agentic AI.
- Architect reusable AI platforms and patterns, establish evaluation and Responsible AI standards, and influence build-vs-buy and long-term technology decisions.
- Partner closely with Business, Product, Engineering, and Data Science to move from problem framing through deployment and measurable outcomes.
- Mentor senior scientists and engineers, raise technical rigor, and drive best practices across experimentation, model validation, MLOps, observability, explainability, and enterprise AI governance.
Requirements
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
- 8 years' experience in an analytics or related field.
Qualifications
- Data science, machine learning, optimization models.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
- Publications or active peer reviewer in related journals or conference.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Experience using open source frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Background in creating inclusive digital experiences, knowledge of WCAG 2.2 AA standards, assistive technologies, and integrating digital accessibility.
- Knowledge of accessibility best practices to support Walmart’s accessibility standards and guidelines for an inclusive culture.