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OpenAI

Data Scientist, Core Experimentation

OpenAI

. Drive the statistical direction and technical strategy for OpenAI’s experimentation platform .

Posted 5/13/2026full-timeSeattle • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $293,000 - $325,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSpark

About the role

Key responsibilities & impact
  • Drive the statistical direction and technical strategy for OpenAI’s experimentation platform
  • Design and improve experimentation methodologies used across product and research teams
  • Build pragmatic solutions to real-world experimentation challenges, balancing rigor with operational simplicity
  • Improve the reliability and trustworthiness of experiment results, including detection and prevention of bias, logging issues, and data quality failures
  • Develop scalable analytical systems and pipelines in Python and distributed compute environments
  • Partner with engineers and product teams to improve experiment design, metric quality, and decision-making practices
  • Lead investigations into complex experimentation anomalies and measurement failures
  • Establish best practices for experimentation governance, interpretation, and statistical correctness
  • Mentor other data scientists and raising the overall technical bar for experimentation and causal inference

Requirements

What you’ll need
  • Experience building, scaling, or operating experimentation platforms at a large technology company
  • Deep expertise in statistics, causal inference, and online experimentation methodology
  • Strong understanding of practical experimentation challenges in production systems
  • Experience with areas such as variance reduction, CUPED, sequential testing, SRM detection, metric design, or heterogeneous effects
  • Strong coding and systems skills in Python and large-scale data processing frameworks (e.g. Spark)
  • Experience designing analytical data models and scalable experimentation pipelines
  • Ability to communicate complex statistical concepts clearly to technical and non-technical audiences
  • Track record of influencing technical strategy through hands-on technical leadership
  • Experience in large-scale product experimentation, ML experimentation, ranking systems, marketplace systems, or similar high-scale experimentation domains is highly valued.

Benefits

Comp & perks
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
statisticscausal inferenceonline experimentation methodologyvariance reductionCUPEDsequential testingSRM detectionmetric designPythonlarge-scale data processing
Soft Skills
communicationtechnical leadershipmentoring