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Data Scientist, Identity - OpenAI
Data Scientist
Data Scientist focused on identity systems, building models and analytics to improve sign‑up, sign‑in, account recovery, and authentication experiences while supporting growth, trust, and user experience at scale.
About the role
Key Responsibilities
- Design and implement statistical models and machine‑learning solutions to detect fraud, improve authentication flows, and optimize identity‑related conversion metrics.
- Develop and maintain data pipelines that ingest, clean, and transform large‑scale identity event streams for analysis and reporting.
- Collaborate with product, engineering, and security teams to define experiments, run A/B tests, and translate findings into actionable product improvements.
- Monitor and analyze key performance indicators for sign‑up, sign‑in, and account recovery, providing insights that drive growth and trust.
- Document analytical methods, create dashboards, and communicate results to stakeholders across consumer and enterprise segments.
Requirements
- Strong proficiency in Python and SQL for data manipulation, modeling, and automation.
- Experience building and evaluating machine‑learning models for fraud detection, authentication, or related identity use cases.
- Solid background in statistical analysis, experimental design, and A/B testing.
- Hands‑on experience with data pipeline tools (e.g., Airflow, dbt) and cloud platforms such as AWS or GCP.
- Ability to work cross‑functionally, translate business problems into analytical solutions, and communicate insights clearly.
Skills
pythonsqlmachine learning