Data Scientist, Safety

Stack

Responsibilities

• ▹Measure harmful or abusive behavior across OpenAI's products
• ▹Detect fraud, manipulation, and coordinated misuse
• ▹Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows
• ▹Design experiments and causal analyses to understand product, policy, and mitigation impacts
• ▹Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks
• ▹Diagnose gaps in safety and integrity systems using behavioral and product data
• ▹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

Requirements

• ▹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

Nice to have

• ▹Background in Trust & Safety / Integrity
• ▹Fraud and abuse experience
• ▹Security analytics experience
• ▹AI/ML model measurement and evaluation experience
• ▹Alignment and AI safety research background
• ▹Experience in biosecurity, synthetic biology, infectious diseases, or computational biology

Soft skills

What we offer

• ▹Compensation range: $230K - $325K USD
• ▹Location: San Francisco or New York, depending on team alignment

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. Safety teams work to ensure OpenAI's products are safe, trusted, and resilient as frontier AI systems scale globally.