At Sam’s Club, we are member obsessed, people led and tech powered. As a Staff Data Scientist – Data & Business Insight at Sam’s Club, you will play a critical role in shaping how data, AI, and advanced analytics improve the in-club Member and Associate experience. You’ll take on high-impact business problems—often ambiguous and cross-functional—and turn them into scalable, data-driven solutions that influence strategic decisions across the organization. In this role, you’ll operate as both a hands-on technical leader and a trusted thought partner to business and product teams. Success means delivering measurable improvements through experimentation, agentic AI solutions, and predictive models, while elevating the data science craft through mentorship and collaboration. What you'll do... What you'll do Lead high-impact analytical initiatives by framing complex business questions into testable hypotheses, analytical approaches, and deployable AI-driven solutions that support Member, Associate, and Connected Club experiences. Design, execute, and scale experimentation (A/B tests, causal inference, and machine learning models) that directly inform product, operational, and strategic decisions. Develop and deploy Agentic AI solutions that expand Sam’s Club’s AI capabilities, moving concepts from prototype to production in partnership with engineering and platform teams. Transform raw, multi-domain data into insights by sourcing, validating, and modeling large datasets to ensure accuracy, relevance, and business fitness. Influence decisions through storytelling by translating analytical findings into clear, compelling narratives and visualizations tailored to senior leaders and cross-functional stakeholders. Raise the technical bar for the team by mentoring junior data scientists and analysts in modeling techniques, coding standards, and analytical best practices. Collaborate across functions (Product, Engineering, Operations, and Business partners) to ensure analytical solutions are scalable, adopted, and aligned with enterprise objectives.
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Job Type
Full-time
Career Level
Mid Level