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 of training materials, case study collateral, and data-backed narratives to demonstrate value to advertisers and internal stakeholders.
Develop new and innovative measurement solutions in Data Clean Rooms using advanced ML algorithms such as KD Tree Nearest Neighbor Synthetic control matching, propensity scores, t-test and bootstrapping tests for statistical significance calculations on partner media impressions data, demographics, and Sam's buyer segments.
Participate, and support analytics consultation projects by providing expert advice in experimental design, learning agenda, success metrics, and requirements for testing of new product feature roll-out, new ad partnership, new data adoption, campaign and audience test & learn.
Manage end-to-end project execution, from planning and data collection to model prototyping and deployment, while effectively communicating with stakeholders and cross-functional partners.
Conduct statistical power analyses using baseline metrics from historical data, expected impact from past learnings or expert opinion, and population size for qualifying audience to determine minimum sample size required to conduct a feasible test to get statistically significant results.
Analyze experiment results using advanced statistical techniques such as normality tests, t-test for normally distributed data, non-parametric tests for non-normal data, and difference in difference regression for biased tests.
What you'll bring:
Proven experience as a Senior Data Scientist with a focus on marketing analytics, preferably in a retail or membership-based environment
Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
Strong knowledge of statistical analysis, experimental design, regression modeling, machine learning, and data visualization techniques
Well versed in ad-tech and mar-tech industry with extensive experience in econometric modeling, digital multi-touch attribution, experimental A/B testing, predictive modeling and able to advise when and how to best leverage those approaches.
Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders.
A comfort level working with ambiguity and the ability to thrive in an environment with rapid change.
A curious and collaborative mindset that finds enjoyment working on complex problems.
Familiarity with retail and membership concepts is a plus.
AI/ML Engineering experience in building scalable media measurement and targeting solutions is a BIG PLUS.
Perks and Benefits
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.?
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!
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Health benefits include medical, vision and dental coverage
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Financial benefits include 401(k), stock purchase and company-paid life insurance
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Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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For information about PTO, see https://one.walmart.com/notices .
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Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart (https://bit.ly/3iOOb1J) .
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San Bruno, California US-08848:The annual salary range for this position is $117,000.00-$234,000.00
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Bentonville, Arkansas US-09930:The annual salary range for this position is $90,000.00-$180,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
