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Data Scientist, Cybersecurity

OpenAI· Data Science
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Remote$263k - $515kFull-timePosted 2mo ago

About the role

Senior data scientist to define and measure effective cybersecurity in the age of AI agents, partnering with Security, Cyber Product, Engineering, and Research to measure risks, improve controls, and shape AI-powered security products.

Responsibilities

  • - Define how we measure AI-agent security. Establish metrics and evaluation frameworks for security-control coverage, agent behavior, sensitive actions, access patterns, detection quality, and emerging risks.
  • - Improve security controls without introducing unnecessary friction. Quantify effectiveness and operational costs of safeguards, including false positives, blocked actions, escalations, approval delays, and recovery paths.
  • - Build the data foundations for security decisions. Partner with engineering and data teams to improve instrumentation, connect telemetry, establish trusted datasets, and surface data-quality gaps.
  • - Strengthen detection and response. Identify signals of anomalous behavior, risky access, sensitive-data exposure, and other security-relevant activity; evaluate whether interventions improve detection quality and outcomes.
  • - Shape AI-powered cybersecurity products. Assess how effectively AI systems identify issues, support workflows, and create measurable value for customers.
  • - Develop evaluation systems for security findings. Define quality measures for findings (accuracy, severity, actionability, duplication, resolution, downstream impact) and connect model behavior to outcomes.
  • - Understand the complete security workflow. Measure how users discover, investigate, validate, prioritize, and resolve issues; identify opportunities to improve adoption and value.
  • - Design rigorous measurement and experimentation strategies. Evaluate new models, controls, products, and workflows through controlled experiments and other appropriate methods.
  • - Translate analysis into security and product strategy. Recommend where to invest and communicate findings to technical partners and leadership.
  • - Help establish a new security data science capability. Build a roadmap and durable operating rhythms across Data Science and Security.

Qualifications

  • - 5+ years of experience in data science, applied research, analytics, or related quantitative field with a track record of owning ambiguous, high-impact problems.
  • - Experience in cybersecurity, trust and safety, fraud or abuse prevention, privacy, platform integrity, or adversarial risk domains.
  • - Strong proficiency in SQL and Python; experience with complex datasets and reproducible analytical workflows.
  • - Experience defining metrics/evaluation frameworks when ground truth is limited or outcomes are delayed.
  • - Strong judgment in experimentation, causal inference, observational analysis, and limitations of measurement approaches.
  • - Ability to partner effectively with security engineers, product managers, software engineers, researchers, data engineers, and senior leaders.
  • - Demonstrated ability to translate technical analysis into concrete product/controls improvements.
  • - Comfort operating independently, defining a roadmap, and bringing structure to an evolving domain.

Skills

Required:SQLPythonMetrics and evaluation designExperimentation and causal inference

Benefits

  • - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
  • - 401(k) retirement plan with employer match
  • - Paid parental leave (up to 24 weeks for birth parents, 20 weeks for non-birthing) plus medical and caregiver leave (up to 8 weeks)
  • - Paid time off (flexible PTO for exempt; up to 15 days annually for non-exempt)
  • - 13+ paid company holidays and additional paid office closures; paid sick/time off as required
  • - Mental health and wellness support
  • - Employer-paid basic life and disability coverage
  • - Annual learning and development stipend
  • - Daily meals in offices and meal delivery credits (where eligible)
  • - Relocation support for eligible employees
  • - Additional fringe benefits (e.g., charitable donation matching, wellness stipends)
  • - Other details available during hiring process
Last updated Aug 20, 2026. Interested? Apply on the company site.

About OpenAI

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