Data Scientist, Safety

product data, and help quantify and navigate false positive / false negative trade-offs.Translate ambiguous safety risks into measurable problems and evidence-based recommendations.Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes.Build zero-to-one analytical systems in rapidly evolving domains.Ideal CandidateWe’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments. The following experience and skills are desirable:Strong statistical reasoning and analytical judgment.Experience with experimentation, causal inference, or observational analysis.Strong SQL and Python skills.Experience working with messy, incomplete, or noisy datasets.Ability to structure open-ended business or risk problems.Excellent communication with technical and non-technical stakeholders.High ownership and comfort operating independently.Helpful backgrounds include Trust & Safety / Integrity, Fraud & Abuse, Security analytics, AI/ML model measurement and evaluation, Alignment and AI safety research, Biosecurity, synthetic biology, infectious diseases, or computational biology.Why This RoleWork on mission-critical problems with world-level impact, shape how frontier AI systems are deployed safely, operate with unusual ownership and visibility, solve novel problems with no existing playbooks, and join highly collaborative teams across OpenAI.Equal Employment Opportunity StatementOpenAI is an equal-opportunity employer and does 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. OpenAI’s policies compliance with applicable laws requires background checks and reasonable accommodations for applicants with disabilities. #J-18808-Ljbffr