Data Scientist, Safety
At a glance
Highlights
- Mission-critical impact on AI safety
- Cross-functional collaboration across product, policy, research
- Competitive compensation range
Why this role might suit you
The role suits data scientists who excel at statistical reasoning, causal analysis, and handling messy data, offering the chance to influence safety of frontier AI systems through high‑impact, cross‑team projects.
Skills
About the role
About the Team
OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.
We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly.
This is a high-impact role operating at the intersection of product, safety, policy, and research.
About the Role
As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.
Depending on your background and team alignment, you may work on areas such as:
- Measure harmful or abusive behavior across OpenAI’s products
- Detect fraud, manipulation, 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, and help quantify and navigate false positive / false negative tradeoffs
- 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 Candidate
We’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.
You may be a fit if you have:
- 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 Role
- Work on mission-critical problems with world-level impact
- Help shape how frontier AI systems are deployed safely
- Operate with unusual ownership and visibility
- Solve novel problems where there are no existing playbooks
- Join highly collaborative teams working across OpenAI
Location
San Francisco, New York, or London depending on team alignment and business need.
Compensation Range: $230K - $325K USD
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.
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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.
Compensation
This Data Scientist role pays $230k-$325k/yr. Within typical range for data scientist roles in United States.
Questions about this role
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