Data Scientist, Core Experimentation

We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company.

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 raise the overall technical bar for experimentation and causal inference

Requirements

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

Nice to have

Experience in large-scale product experimentation, ML experimentation, ranking systems, marketplace systems, or similar high-scale experimentation domains is highly valued