Senior, Data Scientist

Walmart Walmart · Retail · Bentonville, AR

This role focuses on engineering a testing ecosystem and standardizing causal inference for business experiments at Sam's Club. It involves building and deploying analytical models using Python and SQL, identifying datasets, and evangelizing best practices in experimentation and causal inference. The role requires strong expertise in A/B testing, experimental design, data pipelines, and statistical methods, with a track record of mentoring and cross-functional collaboration.

What you'd actually do

  1. Engineer the Testing Ecosystem: Lead the development of a standardized, end-to-end testing platform to improve the speed and accuracy of business experiments.
  2. Standardize Causal Inference: Build and deploy robust causal measurement frameworks to unify how analytics are performed across different business domains.
  3. Build & Deploy: Design, test, and move into production advanced analytical models using Python and SQL to solve complex retail challenges.
  4. Data Sourcing & Strategy: Identify and integrate diverse datasets, ensuring high standards for data quality and suitability for experimental design.
  5. Evangelize Best Practices: Serve as a subject matter expert, translating tech-industry testing standards into actionable practices for Sam's Club associates.

Skills

Required

  • Python
  • SQL
  • Causal inference
  • A/B testing methodology
  • Experimental design
  • Data pipelines
  • Data quality standards
  • Visualization tools
  • Advanced statistical methods
  • Predictive modeling

Nice to have

  • Machine learning
  • Optimization models
  • Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Spark
  • Scala
  • R
  • scikit learn
  • tensorflow
  • torch
  • Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
  • assistive technologies
  • digital accessibility

What the JD emphasized

  • Strong command of causal inference, A/B testing methodology, and experimental design.
  • Proficiency in Python and SQL for full-cycle model development and deployment. At least 2 years of experience.