Senior, Data Scientist

Position Summary...

What you'll do...

At Sam’s Club, we are member obsessed. We work to add value to Sam’s Club membership, and we partner with suppliers to bring unique and exciting products to our members. The Sam’s Club Member Access Platform (MAP), the retail media network arm, is the nexus of the Supplier -Marketer- Merchant partnership. MAP is responsible for delivering impactful omnichannel advertising experiences to our members that are married with closed-loop measurement.

The Measurement, Insights and Data Strategy (MINDS) team is a data and analytics function supporting the MAP organization. They provide campaign performance measurement and audience insights for marketing effectiveness and optimization and lead innovation and monetization initiatives through media experimentation and data strategy. The team fuels MAP’s winning formula – easy to buy, easy to sell, easy to operate -- to drive accelerated growth for both supplier brands and Sam’s Club. Realizing the unique strength in 100% traceable member journey data, omni-channel fulfillment capabilities, and personalization capabilities with growing member reach.

We are seeking a Senior Data Scientist to join its Media Science and Experimentation team and help drive the company’s data innovation strategy. In this role, you will focus on implementing clean room technologies for closed-loop measurement, developing generative AI solutions for social listening, and advancing audience monetization through sophisticated experiments and machine learning–based targeting and measurement. You’ll collaborate with internal teams across Sales, Marketing, Operations, Product, Engineering, and Site Analytics to design and execute advanced analytics and measurement solutions. Additionally, you will work with external ad-tech and measurement partners—including Meta, Pinterest, Tradedesk, LiveRamp, Circana, and Epsilon—to explore new monetization opportunities using emerging technologies such as clean rooms, in-store beacons, and data marketplaces. This position reports to the Director of Media Science and Experimentation.

What you’ll do:

• Lead clean-room data science initiatives with Meta and Pinterest, managing end-to-end workflows such as audience joins, closed loop attribution measurement, campaign incrementality testing, and cross-channel measurements.
• Collaborate closely with cross-functional teams—including Product, Engineering, and Legal—to define scalable schema, governance protocols, and privacy-safe data-sharing pipelines that support both campaign measurement and audience activation.
• Design and implement advanced GenAI solutions for social listening, building LLM-powered systems that process and extract sentiment, intent, and brand affinity signals from comment data across influencer and social campaigns.
• Deliver actionable insights to campaign managers and advertisers by transforming unstructured social content into structured, high-signal intelligence.
• Integrate third-party data sources—including Freeosk sampling, Experian, Epsilon, and Circana panel data—to enhance targeting accuracy and segmentation depth, enabling more advanced use cases in personalization, lifecycle marketing, and high-value audience activation across media channels.
• Develop scalable audience automation and sharing frameworks by integrating clean-room capabilities with internal audience builders and external media platforms. Enable dynamic audience modeling, streamlined data activation, and seamless measurement workflows across partner ecosystems to drive campaign efficiency and personalization.
• Support go-to-market strategies by partnering with commercial and product teams on sales enablement, including the creation o