As a Data Scientist on User Operations, you’ll design the models, metrics, and experimentation frameworks that power OpenAI’s human-AI collaboration loop. You’ll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale.
Requirements
- 10+ years of experience in data science roles within product or technology organizations
- Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies
- Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation
- Proven experience designing and interpreting experiments and making statistically sound recommendations
- Experience building data systems or pipelines that power production workflows or ML-based decisioning
- Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker
- Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks
- Ability to build relationships with diverse stakeholders and cultivate strong partnerships
- Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact
- Ability to operate effectively in a fast-moving, ambiguous environment with limited structure
- Strong communication skills and the ability to translate complex data into stories for non-technical partners
Benefits
- Relocation Assistance
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Accommodation for disabilities