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Data Scientist - ML-Driven Audience Targeting & Experimentation

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: Walmart
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Staff, Data Scientist - ML-Driven Audience Targeting & Experimentation

Position Summary...

At Sam’s Club, we’re member-obsessed — and data is at the heart of how we deliver value to both our members and our supplier partners. The Measurement, Insights and Data Strategy (MINDS) team powers the Sam’s Club Member Access Platform (MAP) by turning 100% traceable member journey data into actionable insights, scalable media solutions, and measurable business impact.

As a Staff Data Scientist on the Media Science & Experimentation team, you will lead the development of ML-driven audience targeting solutions and help define how experimentation drives onsite media performance. Your work will directly influence how top-tier advertisers activate against Sam’s Club members, how campaigns are optimized in-market, and how value is communicated to executive stakeholders. This is a highly visible role combining advanced machine learning, experimentation rigor, and executive storytelling at scale.

What

you’ll do
  • Deliver ML-powered audience solutions that drive advertiser outcomes. Design, build, and deploy high-impact propensity and lifetime value (LTV) models that meaningfully improve targeting effectiveness, ROAS, and campaign performance for top advertisers (e.g., P&G, Pepsi Co).
  • Own technical partnerships with strategic advertisers. Act as the primary data science partner for large advertisers and measurement partners — shaping campaign objectives, defining success metrics, and translating complex modeling approaches into clear, business-relevant outcomes.
  • Scale models from concept to production. Lead the end-to-end lifecycle of ML solutions — moving from POC to production by building parameterized, automated, and scalable pipelines in close collaboration with Engineering and Product.
  • Advance experimentation for onsite display media. Design and analyze rigorous A/B tests to evaluate onsite display ad strategies, validate hypotheses, and inform product and media decisions that improve member experience and monetization.
  • Automate insights through GenAI-powered storytelling. Architect and deliver AI-driven solutions that automatically generate executive-ready narratives and presentation materials, dramatically reducing manual reporting while elevating insight quality.
  • Influence executive decision-making through storytelling. Translate complex analytical findings into compelling narratives for VP-level and above stakeholders — clearly articulating ROI, business impact, and strategic implications.
What you’ll bring
  • Proven experience building ML models that drive real business impact. 3+ years of hands-on, non-academic experience developing and deploying ML models end-to-end — particularly propensity and/or LTV models using tree-based methods (XGBoost, Light

    GBM).
  • Strong experimentation and statistical judgment. Deep expertise in A/B testing design and analysis, including power analysis, hypothesis testing, and advanced methods (bootstrapping or Bayesian approaches are a plus).
  • Experience operationalizing analytics fortable turning analytical ideas into production-ready solutions using Python and SQL, with an emphasis on automation, parameterization, and repeatability.
  • GenAI and automation mindset. Demonstrated ability to leverage LLMs or GenAI tools to automate narrative generation, reporting, or presentation creation from data.
  • Ability to bridge data science and executive storytelling. A track record of communicating complex analytical results to senior business stakeholders in a clear, persuasive, and strategic way.
  • Retail media or AdTech exposure (strong plus). Familiarity with Retail Media Networks, AdTech platforms, or closed-loop measurement environments is highly valued.
  • Modern data & ML tooling experience. Experience with GCP (Big Query, Dataproc, Vertex AI preferred), and familiarity with engineering best practices such as CI/CD, Docker, PySpark, or scalable data pipelines.
  • Strong quantitative foundation. A Master’s degree or PhD in Statistics, Economics, Computer Science, Mathematics, or a related field is preferred.

At Sam s Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!

-Health benefits include…

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