Data Scientist, Preparedness

OpenAI; Los Angeles (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

An AI research company in Los Angeles is seeking an experienced Data Scientist to evaluate and improve risk mitigation systems related to AI. The ideal candidate can structure analyses independently and influence product policy changes based on findings. Strong skills in data science, SQL, and cybersecurity are essential. This position offers an exciting opportunity to contribute to AI safety and the responsible development of advanced technologies.

Qualifications

• Significant experience in high-stakes domains like security or abuse prevention.
• Strong foundation in experimentation and causal thinking.
• Fluency in SQL and Python for analysis and modeling.

Responsibilities

• Evaluate and improve mitigation systems for AI risks.
• Diagnose errors and provide recommendations.
• Develop frameworks to track mitigation effectiveness.

Skills

Data science experience

SQL proficiency

Python programming

Cross-functional collaboration

Cybersecurity knowledge

Risk assessment

Job description

Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.

The mission of the Preparedness team is to:

Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society

Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems

Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.

About the Role

We’re hiring a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role is for an experienced, highly autonomous individual contributor who can take ambiguous problem statements, structure rigorous analyses, and translate findings into actionable product and policy changes.

This position goes beyond “running evals.” You’ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm).

What You’ll Do

Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas).

Diagnose false positives and false negatives with deep error analysis, root cause investigation, and clear recommendations for mitigation adjustments.

Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.

Identify trends in over-blocking vs. under-blocking, quantify customer impact, and propose prioritized interventions.

Develop insights from customer feedback, complaints, and usage patterns to detect shifts in adversarial behavior and system failure modes.

Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or sabotage scenarios, in partnership with domain experts.

Communicate results to technical and executive stakeholders with crisp narratives, decision-ready metrics, and clear tradeoffs.

You might thrive in this role if you are:

An autonomous operator: you can take a problem statement and independently structure the analysis end-to-end.

Strong at executive-ready communication: concise, clear, and outcome-oriented.

Skilled in turning analysis into productable changes: you’re comfortable influencing across functions to drive mitigation improvements.

Qualifications

Significant experience in data science or applied analytics in high-stakes domains (e.g., security, trust & safety, abuse prevention, fraud, platform integrity, or reliability).

Strong foundations in experimentation, causal thinking, and/or observational inference; ability to design robust measurement under imperfect data.

Fluency in SQL and Python (or equivalent) for analysis, modeling, and building monitoring workflows.

Experience building metrics, dashboards, and operational monitoring that meaningfully changes outcomes (not just reporting).

Track record of driving cross-functional impact with engineering, product, and research partners.

Cybersecurity data science experience (strong preference), including exposure to threat modeling, adversarial dynamics, abuse patterns, or security telemetry.

Experience with classifier evaluation, calibration, thresholding, and error analysis at scale.
Familiarity with detection systems in adversarial settings (e.g., evasion, distribution shift, feedback loops).

Trust & Safety experience is helpful, but not required.

Genuine interest in AI safety, alignment, and catastrophic risk prevention.

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.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 information. In 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.