Data Scientist User Risk Measurement
Data Scientist User Risk Measurement
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USD 255000 - 325000
1 Vacancy
Job Description
About the Team
The Intelligence & Investigations (I2) team detects and disrupts abuse and strategic risk so people can use our products safely. Within I2 Strategic Intelligence & Analysis is building a first-of-its-kind user-risk measurement function: policy-grounded baselines confidence intervals and attribution that reveal how real users engage with frontier AIand how that changes when we ship mitigations. We sit between Safety Systems Data Science Integrity and Product turning heterogeneous safety signals into decision intelligence that appears in executive dashboards launch/post-launch readouts and weekly briefs.
About the Role
As a Data Scientist on this new function you will help define how the industry measures complex adaptive humanAI behavior at scale: You will establish trustworthy baselines for user-level risk create attribution that links changes to real-world mitigations and events and deliver concise narratives and metrics that guide safety strategy and product decisions. The work spans end-to-end ownershipfrom framing the questions to delivering decision-ready outputs with clear quality standards and governancewhile collaborating closely across Safety Systems Data Science Product and Policy
This role is based in San Francisco CA (hybrid 3 days/week): Relocation support is available
In this role you will:
Define the measurement framework for user-level risk across products and cohorts: scope the questions that matter and align on clear policy-grounded definitions
Establish baselines and statistical confidence for core metrics: prevalence intensity trends and cohort dynamics
Build decision-ready reporting surfaces: executive dashboards weekly briefs and launch readouts that translate insights into action
Clean and organize ambiguous data from disparate sources with an eye toward building automated pipelines and systems
Create attribution and change-tracking: connect shifts in user behavior to mitigations product changes and external events
Partner across Safety Systems Data Science Integrity Product and Policy: ensure one coherent analytics entry point and consistent standards
Uphold quality privacy and governance: document methods ensure auditability and maintain durable measurement hygiene
Monitor signals for emerging risks and anomalies: recommend priorities that reduce harmful usage and improve user safety
Communicate clearly and concisely: deliver insights and trade-offs to executives and engineering teams in language that drives decisions
You might thrive in this role if you:
Have 36 years in data science measurement/causal inference or risk analytics in high-stakes domains:
Are strong in sampling inference uncertainty quantification probability theory and rare-event estimation; comfortable with time-varying metrics:
Write solid Python and SQL; are fluent with data warehouses and productionizing notebooks/pipelines:
Communicate crisply translating complex estimators into clear actions for executives and cross-functional partners:
Nice to have: experience with Airflow DAGs or other ETL pipelines Databricks survival analysis streaming/online detection classifier evaluation/QA privacy reviews/audit trails or integrity/fraud/safety experience:
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.
For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Employment Type
Full-Time
