Senior, Data Scientist

Position Summary

As a Senior Data Scientist on the Marketing MINDS team, you will play a pivotal role in shaping how marketing measurement solutions are designed, scaled, and activated. This is a hands‑on, highly technical individual contributor role where you develop and product ionize advanced measurement, machine learning, and causal inference solutions that directly influence marketing strategy and investment decisions. Your work will help power closed‑loop, omnichannel measurement at scale and turn Sam’s Club’s unique member journey data into actionable insights that drive business growth.

The Marketing Measurement, Insights & Data Strategy (Marketing MINDS) team at Sam’s Club drives marketing decisions through advanced data science and machine learning. The team specializes in member targeting, marketing impact evaluation, channel investment optimization, and scalable model development. By applying trusted measurement methods and innovative data solutions, the team delivers actionable insights that enhance marketing effectiveness. Members collaborate to build sophisticated analytical models and data‑driven strategies that support business growth and operational excellence in a dynamic, data‑powered environment.

• Build and scale Marketing Mix Modeling (MMM) to measure incremental impact on GMV, acquisition, renewals, and upgrades; enhance model design, inference, and business adoption to inform budget decisions.
• Lead incrementality and causal measurement by designing A/B tests and experiments to quantify true lift, performance, and scalability.
• Develop ML models for member segmentation across the lifecycle (acquisition to renewal) using clustering and trigger‑based targeting to improve conversion and engagement.
• Productionize data science solutions with robust pipelines, monitoring, and retraining; apply AI to automate workflows, accelerate insights, and ensure scalable, reliable systems.

• Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, with 3+ years applying ML and advanced analytics to real‑world problems.
• Experience building and scaling production‑grade data science systems (training pipelines, evaluation, monitoring, retraining).
• Strong hands‑on expertise in Marketing Mix Modeling (MMM) including saturation curves, diminishing returns, marginal ROAS, and Bayesian/frequentist methods; end‑to‑end MMM experience preferred.
• Experience in causal inference and experimentation (A/B testing, Bayesian time series) with 2+ years in causal ML.
• Python and SQL expertise with experience on a cloud‑based data platform.
• Experience in retail or marketing analytics is a plus.

• 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; PTO and/or PPTO can be used for vacation, sick leave, holidays, or other purposes. The amount depends on your job classification and length of employment and meets or exceeds paid sick leave laws.
• Other benefits include short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogate 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.

For information about PTO, see

The annual salary range for this position is $90,000.00 – $. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) based on location.

• Option 1:
  Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 3 years’ experience in an analytics‑related field.
• Option 2:
  …