Data Scientist, Core Experimentation
Core
Lead the evolution of OpenAI's core experimentation platform to improve statistical rigor, reliability, and practical usability for product and research teams.
Role type
Staff-level Data Scientist (Individual Contributor)
Builds
Scalable analytical systems, pipelines, and experimentation methodologies for frontier AI products.
Domain
Artificial Intelligence, Online Experimentation, Causal Inference, Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Deep expertise in statistics and causal inference, experience building/scale operating experimentation platforms, strong Python coding skills, experience with large-scale data processing frameworks (e.g., Spark), ability to design analytical data models, track record of influencing technical strategy through hands-on leadership.
Preferred skills
Experience with variance reduction, CUPED, sequential testing, SRM detection, metric design, heterogeneous treatment effects, ML experimentation, ranking systems, marketplace systems.
Technologies
Python, Spark
Responsibilities
Drive statistical direction and technical strategy for the experimentation platform, design and improve experimentation methodologies, build pragmatic solutions to real-world experimentation challenges, improve reliability and trustworthiness of experiment results, develop scalable analytical systems and pipelines, partner with engineers and product teams to improve experiment design and decision-making practices, lead investigations into complex experimentation anomalies, establish best practices for experimentation governance, mentor other data scientists.
Seniority
Staff, hands-on IC with significant influence
