Principal, Data Scientist, Experimentation Sciences

Walmart

Sunnyvale, California, United States
Base: $143,000.00 - $286,000.00 (sunnyvale); $110,...
Hybrid
Deep expertise in experimentation and causal inference
Expert-level sql and pyspark skills
Experience with high-volume distributed data pipelines
Walmart is seeking a Principal Data Scientist for its Experimentation Sciences team, responsible for defining and executing the data science roadmap for A/B testing and experimentation platforms. This position requires a blend of leadership and technical skills to enhance statistical tooling and modernize measurement frameworks, particularly in AI applications

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 is evolving its measurement framework to support emerging AI use cases including LLM evals, prompt evaluation, and hybrid human/LLM judging.
  • Walmart offers competitive pay, performance-based bonuses, stock options, and comprehensive benefits including tuition-free education through Live Better U.

Matching Summary

Match Score: 85

Walmart is seeking a Principal Data Scientist for its Experimentation Sciences team, responsible for defining and executing the data science roadmap for A/B testing and experimentation platforms. This position requires a blend of leadership and technical skills to enhance statistical tooling and modernize measurement frameworks, particularly in AI applications.

Salary

Base: $143,000.00 - $286,000.00 (Sunnyvale); $110,000.00 - $220,000.00 (Bentonville); Bonus/Equity: Annual or quarterly performance bonuses and Stock; Benefits: Medical, vision, dental, 401(k), paid time off, tuition reimbursement

Skills & Requirements

Must-have

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

Nice-to-have

  • Self-starter mindset working through ambiguity
  • Experience with Google Cloud Platform and Airflow
  • Publications or patents in applied machine learning
  • Knowledge of advanced experimental designs like CUPED
  • Background in e-commerce or marketplace environments

Key Requirements

  • Bachelor's degree plus 10 years experience OR Master's plus 8 years OR PhD plus 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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