USA Principal, Data Scientist - Retail Intelligence Tech Lead - Walmart
Data Scientist
Principal Data Scientist - Retail Intelligence (Tech Lead) About the Role: Walmart's Retail Intelligence team is seeking a Principal Data Scientist (Tech Lead) to drive innovation and excellence in model building for store operations.
About the role
Position Summary... What you'll do... Principal Data Scientist - Retail Intelligence (Tech Lead) About the Role: Walmart's Retail Intelligence team is seeking a Principal Data Scientist (Tech Lead) to drive innovation and excellence in model building for store operations. This role is ideal for a hands-on leader with deep retail experience, strong programming skills, and a passion for mentoring data scientists in a fast-paced, agile environment. Key Responsibilities:
Lead and mentor a team of Individual Contributors (ICs) in developing critical models for store operations, with a focus on Agentic AI and mathematical modeling.
Guide sprint teams in building the architecture for AI Agents supporting Retail Store Operations.
Ensure daily work is completed within an accountable framework and updates are provided in the correct format.
Drive collaboration among data scientists to define objectives, develop strategies, and execute on project gameplans.
Provide ongoing technical support and guidance to other data scientists.
Develop, implement, and optimize class algorithms for store operations use cases.
Deliver actionable insights, recommendations, and data-driven actions to stakeholders.
Master's degree in computer science, Data Science, Mathematics, or a related field.
Minimum 5 years of experience in Data Science, with at least 2 years as a Tech Lead, preferably in a retail environment.
Strong programming skills in SQL and Python.
Proven experience with mathematical modeling and Agentic AI.
Demonstrated ability to lead teams in an agile, sprint-based format.
Excellent communication and collaboration skills.
Experience building AI/ML solutions for retail operations.
Familiarity with technical agent frameworks and architecture.
Strong problem-solving skills and a results-driven mindset.