
Staff, Data Scientist - Sponsored Media Mix Modeling & Experimentation
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Overview
Schedule
Full-time
Part-time
Career level
Senior-level
Compensation
$110,000-$220,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
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 AdsLead 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 experienceBuild 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 formatsPartner 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 scaleDeliver 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 MAPLead cross-functional discussions on measurement and modeling tradeoffs, educate stakeholders, and provide clear, actionable guidance that balances analytical rigor with business impact.
- 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.
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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 fieldPreferred 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 AmericaWalmart 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.Automate your job search with Sonara.
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FAQs About Staff, Data Scientist - Sponsored Media Mix Modeling & Experimentation Jobs at Walmart
What is the work location for this position at Walmart?
This job at Walmart is located in San Bruno, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Walmart?
Candidates can expect a pay range of $110,000 and $220,000 per year.
What employment applies to this position at Walmart?
Walmart lists this position under the following employment categories:
- Full-time
- Part-time
What experience level is required for this role at Walmart?
Walmart is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Walmart?
You can apply for this role at Walmart either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.