Related skills
python statistics spark causal inference experimentation platform📋 Description
- Drive the statistical direction and strategy for OpenAI’s experimentation platform
- Design and improve experimentation methodologies across product and research
- Build pragmatic solutions balancing rigor with operational simplicity
- Improve reliability and trustworthiness of experiment results, bias, logging, and data quality
- Develop scalable analytical systems and pipelines in Python and distributed compute
- Mentor data scientists and raise the technical bar for experimentation and causal inference
🎯 Requirements
- Experience building and scaling experimentation platforms at a large tech company
- Deep expertise in statistics, causal inference, and online experimentation
- Strong coding and systems skills in Python and Spark
- Experience with variance reduction, CUPED, sequential testing, or heterogeneous effects
- Ability to communicate complex statistics clearly to technical and non-technical audiences
- Track record influencing technical strategy through hands-on leadership
🎁 Benefits
- Hybrid work model with in-person collaboration
- Equity and competitive benefits
- Equal opportunity employer
- Reasonable accommodations for applicants with disabilities
- Opportunity to work on OpenAI’s core experimentation platform
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