Staff Data Scientist — Experimentation Platform Leader

OpenAI; Washington; Hybrid; USD 293,000 - 325,000; Full time

Job summary

OpenAI, based in Bellevue, is seeking a Staff-level Data Scientist to lead the evolution of our core experimentation platform. The role emphasizes statistical rigor, reliability, and practical usability across product and research teams.

You will tackle challenging online experimentation problems and translate advanced concepts into pragmatic systems used company-wide. This is a highly technical IC role with broad influence across methodology and platform architecture.

Qualifications

• Deep expertise in statistics, causal inference, and online experimentation methodology.
• Strong coding and systems skills in Python and large-scale data processing frameworks.

Responsibilities

• 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.

Skills

Statistics

Causal inference

Experimentation methodology

Python programming

Large-scale data processing

Tools

Python

Spark

Job description

OpenAI, based in Bellevue, is seeking a Staff-level Data Scientist to lead the evolution of our core experimentation platform. The role emphasizes statistical rigor, reliability, and practical usability across product and research teams.

You will tackle challenging online experimentation problems and translate advanced concepts into pragmatic systems used company-wide. This is a highly technical IC role with broad influence across methodology and platform architecture.