Staff, Data Scientist - Sponsored Media Mix Modeling & Experimentation

Position Summary...

At Sam’s Club, we’re member obsessed — and data powered. The Measurement, Insights & Data Strategy (MINDS) team sits at the center of Sam’s Club’s Member Access Platform (MAP), enabling suppliers, merchants, and marketers to make smarter decisions through trusted measurement, experimentation, and data science.

As a Staff Data Scientist on the Media Science & Experimentation team, you will play a pivotal role in shaping how Sponsored Product Ads (SPA) are measured, optimized, and scaled. This is a hands-on, highly technical individual contributor role where you’ll design and productize advanced measurement, machine learning, and causal inference solutions that directly influence how top advertisers plan, test, and grow their media investments. Your work will power closed-loop, omnichannel measurement at scale — turning Sam’s Club’s unique member journey data into actionable, revenue-driving insights for both suppliers and the business.

What you'll do...

What you'll do

• Build and scale advertiser-ready Media Mix Models (MMM)
  Design, productize, and deploy granular Sponsored Product Ads MMM solutions that advertisers actively use for budget planning, scenario simulation, and optimization. Establish MMM as a core FY27 Joint Business Plan (JBP) measurement capability with strong adoption and credibility.
• Advance incrementality and causal measurement for Sponsored Ads
  Lead the design and analysis of A/B tests and quasi-experimental frameworks to quantify true incremental lift from media investments. Move the organization beyond pre/post reporting toward trusted, decision-grade measurement that informs product launches and advertiser strategy.
• Develop machine learning models that improve advertiser growth and member experience
  Build advertiser-level segmentation and retention models that drive supplier growth, along with member-level ad response prediction models that optimize performance while protecting the member experience.
• Own experimentation strategy for new ad products and formats
  Partner with Product, Engineering, and Ads teams to design rigorous experiments for SPA product launches, interpret results, and translate findings into clear recommendations that influence roadmap and go-to-market decisions.
• Productize data science solutions at scale
  Deliver production-grade modeling systems with robust pipelines, monitoring, and retraining. Apply AI-driven approaches to automate workflows, accelerate insights, and ensure measurement solutions are scalable, testable, and repeatable.
• Act as a technical thought partner across MAP
  Lead cross-functional discussions on measurement and modeling tradeoffs, educate stakeholders, and provide clear, actionable guidance that balances analytical rigor with business impact.

What you'll bring

• A master’s degree or higher in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related quantitative field, plus 5+ years of industry experience applying advanced analytics and machine learning to real-world business problems.
• A proven track record of building and scaling production-grade data science systems, including model training pipelines, evaluation, monitoring, and retraining for decision-critical use cases.
• Deep hands-on experience with Media Mix Modeling (MMM) for budget planning and optimization, including saturation curves, diminishing returns, marginal ROAS, and Bayesian or frequentist approaches — with the ability to translate outputs into clear business recommendations.
• Strong expertise in causal inference and experimentation, including A/B testing, power analysis, difference-in-differences, matched or synthetic controls, and Bayesian time series methods, with at least 2+ years of hands-on causal ML or experimentation experience.
• Solid grounding in machine learning and statistical modeling, including advertiser segmentation, ad response prediction, uplift modeling, and bias–variance tradeoffs; exposure to keyword or bidding optimization is a plus.
• High proficiency in Python and SQL, with experience working in large-scale data environments (e.g., BigQuery, Dataproc), distributed data processing, and feature pipeline development. Experience with TensorFlow or similar frameworks is preferred.
• Familiarity with modern analytics and measurement tooling, such as Google Meridian or similar MMM platforms, and GenAI / LLM-based tools for automation and scalable insight generation.
• A strong analytical mindset, comfort operating in ambiguity, and a collaborative, impact-driven approach to partnering with Product, Engineering, and Advertising teams.
• Retail Media or Sponsored Product Ads experience is a plus, as is prior experience building scalable media measurement or targeting solutions.

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 medical, vision and dental coverage

-Financial benefits include 401(k), stock purchase and company-paid life insurance

-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.

For information about PTO, see https://one.walmart.com/notices.

- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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.
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.

For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09930: The annual salary range for this position is $110,000.00 - $220,000.00
San Bruno, California US-08848: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).

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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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, PhD 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...

2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.