Data Scientist, Core Experimentation

Job summary

Responsibilities

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.

• 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
• Developscalable analytical systems and pipelines in Python and distributed compute environments

What they're looking for

• 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)

Tech stack

• Python
• Spark