Data Scientist, Core Experimentation

Highlights

• Lead statistical direction for OpenAI's core experimentation platform.
• Solve SRM detection, variance reduction and bias at massive scale.
• Shape experimentation for frontier AI products company-wide.

What they offer

• Equity

Ideal candidate

Staff-level experimentation expert who blends deep statistical rigor with pragmatic systems intuition and cares about making trustworthy measurement usable at scale.

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 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