Principal, Data Scientist, Experimentation Sciences

Walmart

Sunnyvale, California, United States
Base: $143,000 - $286,000 (sunnyvale); base: $110,...
Hybrid
Deep expertise in experimentation and causal inference
Expert-level sql and pyspark skills
Hands-on experience with high-volume distributed data pipelines
Walmart is seeking a Principal Data Scientist for its Experimentation Sciences team, responsible for leading the data science roadmap for A/B testing and experimentation. The role requires deep expertise in experimentation, causal inference, and statistical decision-making, along with hands-on experience in data engineering and AI evaluation methodologies

Job Summary

  • This hands-on technical leadership role defines the data science roadmap for Walmart's A/B testing ecosystem to power trusted decision-making.
  • The team owns scalable infrastructure and measurement systems required to support high experiment volume with reliable and accurate outcomes across multiple channels.
  • Walmart offers competitive pay, performance-based bonuses, comprehensive health benefits, and a paid education benefit program called Live Better U.

Matching Summary

Match Score: 85

Walmart is seeking a Principal Data Scientist for its Experimentation Sciences team, responsible for leading the data science roadmap for A/B testing and experimentation. The role requires deep expertise in experimentation, causal inference, and statistical decision-making, along with hands-on experience in data engineering and AI evaluation methodologies.

Salary

Base: $143,000 - $286,000 (Sunnyvale); Base: $110,000 - $220,000 (Bentonville); Bonus/Equity: Annual or quarterly performance bonuses and Stock available

Skills & Requirements

Must-have

  • Deep expertise in experimentation and causal inference
  • Expert-level SQL and PySpark skills
  • Hands-on experience with high-volume distributed data pipelines
  • Strong Python programming capabilities
  • Experience building or improving experimentation platforms

Nice-to-have

  • Self-starter mindset able to work through ambiguity
  • Experience with Google Cloud Platform and Airflow
  • Knowledge of advanced methods like CUPED and Bayesian testing
  • Publications or patents in experimentation or AI evaluation
  • Background in e-commerce or marketplace environments

Key Requirements

  • Bachelor's degree and 10 years experience OR Master's with 8 years OR PhD with 6 years
  • Minimum 10 years in data science, experimentation, or measurement science
  • Production scale experience with SQL, Spark/PySpark, and causal inference

Work Rights

Not specified

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