(usa) principal, data scientist

Position Summary

We are hiring a Principal Data Scientist to lead the design and development of Walmart Connect's next-generation ads incrementality measurement platform. We are looking for a scientist with rare depth in causal inference, incrementality and RCT experimentation who thrives on doing the hard technical work, not just directing it. You will own the methodology end-to-end, partner with engineering and product to carry solutions into production, and serve as the team's go-to authority on the hardest measurement problems. You will help set the bar for what rigorous, causally grounded ads measurement looks like at Walmart Connect.

About the team

The team develops advanced advertising measurement solutions by leveraging innovative data science, machine learning algorithms, and experimentation techniques.

What you'll do

• Design and implement large-scale causal inference methodologies to measure the true incremental lift of advertising across campaigns, channels, and segments.
• Establish evaluation frameworks, exit criteria, and solution readiness standards causal inference methodologies, grounding approach in hypotheses and data validations.
• Author high-quality technical design documents and whitepapers; present to senior leadership.
• Define the science roadmap for incrementality and causal measurement; prioritize the highest-leverage problems and make principled trade-offs.
• Develop event-grain incrementality models (Uplift DNN) to power ads bidding optimization decisions.
• Partner with engineers to design data pipelines and schema that meet the precision requirements of causal measurement at scale.
• Mentor senior and mid-level scientists.

What you'll bring

• PhD or Master's in Statistics, Economics, Econometrics, Computer Science, or a related quantitative field — PhD strongly preferred.
• 5+ years in data science or quantitative research, ads industry experience preferred.
• Deep, specialized expertise in causal inference and/or incrementality-based optimization — Randomized control trials, PIE model, instrumental variables, uplift DNN, regression discontinuity and related methods.
• Strong command of experiment design at scale — power analysis, variance reduction, interference and spillover handling, and bias correction.
• Proficiency in Python and SQL for large-scale data analysis and experience with distributed data platforms (Spark, BigQuery, or equivalent).
• Strong statistical foundations and machine learning knowledge.

Benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

Salary

The annual salary range for this position is $143,000.00 - $286,000.00 in Sunnyvale, California and $132,000.00 - $264,000.00 in Bellevue, Washington.