About The Position

As Sr. Data Scientist in the Walmart+ Core Ops & Strategy Enablement team, you will be a senior individual contributor driving some of the most important experimentation and modeling work across Walmart+. You’ll design and analyze experiments, build propensity and churn models, and help turn successful approaches into reusable data science assets. Your work will directly support the Member Acquisition & New Benefits and Member Engagement & Retention teams and shape how one of Walmart’s highest-priority businesses tests, learns, and scales new ideas.

Requirements

  • A passion for experiment-driven decision making and the ability to balance speed with sound methodology.
  • Strong problem-structuring skills, turning ambiguous questions into tractable hypotheses, experiments, and models.
  • A collaborative, low-ego mindset that brings stakeholders along, especially partners across the organization.
  • Comfort working in a fast-evolving, high-priority environment, with the ability to prioritize and communicate tradeoffs.
  • A habit of owning outcomes, not just analyses – you care that the organization acts on what you learn.
  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
  • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
  • 5 years' experience in an analytics or related field.

Nice To Haves

  • 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.

Responsibilities

  • Design and analyze experiments that span multiple Walmart+ journeys, benefits, and channels, partnering closely with the Member Acquisition & New Benefits and Member Engagement & Retention teams.
  • Build and maintain models such as propensity, churn, and uplift to answer high-impact strategic questions and support critical decisions.
  • Translate test and model results into clear, actionable recommendations that inform product roadmaps, marketing strategies, and portfolio bets.
  • Refactor and standardize code and methods into reusable templates, feature sets, or libraries that other data science teams can leverage.
  • Partner with data engineering and platform teams to improve data pipelines and access patterns needed for fast experimentation and modeling.

Benefits

  • Medical coverage
  • Vision coverage
  • Dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO (including sick leave)
  • Parental leave
  • Family care leave
  • Bereavement
  • Jury duty
  • Voting leave
  • Short-term disability
  • Long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
  • Live Better U is a Walmart-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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