OpenAI
Data Scientist, Core Experimentation
$293K–$385K
Seattle · Hybrid · Full-time · Posted May 13, 2026
About the job
Leads statistical methodology and platform improvements for reliable experimentation across OpenAI product and research teams.
What you'll do
- Set statistical direction and improve experimentation methods, platform reliability, and governance.
- Build scalable analytical systems and pipelines, and investigate measurement anomalies and failures.
- Partner with technical and product teams and mentor data scientists on experimentation and causal inference.
What they ask for
- Deep expertise in statistics, causal inference, and online experimentation methodology.
- Strong coding and systems skills in Python and large-scale data processing frameworks.
- Experience designing analytical data models and scalable experimentation pipelines.
- Ability to communicate complex statistical concepts and influence technical strategy through hands-on leadership.
Nice to have
- Experience building, scaling, or operating experimentation platforms at a large technology company.
- Experience in large-scale product or ML experimentation, ranking systems, marketplace systems, or similar domains.
Pay
$293K - $325K USD (base salary); $347K – $385K USD (total pay)
Tools
Python, Spark
AI focus
Develops experimentation methodology and systems for product and research teams, including experimentation in complex ML systems.
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