Data Scientist, Cybersecurity

OpenAI
New York, San Francisco
Workplace: RemoteFull timeUSD 263,000 - 515,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Partnership","Judgment","Independent problem-solving","Experiment design"]

Define how effective cybersecurity works for AI agents by creating metrics, evaluation frameworks, and experimental strategies. Partner with Security, Cyber Product, Engineering, and Research to quantify risk reduction and operational costs, improve internal controls, and build trusted data foundations. Strengthen detection and response by identifying meaningful signals of anomalous or risky access, and translate findings into measurable improvements in security workflows and AI-powered cybersecurity products.

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FursaFursa
OpenAI
OpenAI
4 days ago

Data Scientist, Cybersecurity

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Define how effective cybersecurity works for AI agents by creating metrics, evaluation frameworks, and experimental strategies. Partner with Security, Cyber Product, Engineering, and Research to quantify risk reduction and operational costs, improve internal controls, and build trusted data foundations. Strengthen detection and response by identifying meaningful signals of anomalous or risky access, and translate findings into measurable improvements in security workflows and AI-powered cybersecurity products.
Location: New York, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • ā€¢Define how to measure AI-agent cybersecurity effectiveness with metrics and evaluation frameworks across coverage, behavior, sensitive actions, access patterns, detection quality, and emerging risks.
  • ā€¢Improve security controls by quantifying effectiveness and operational costs, including false positives, blocked actions, escalations, approval delays, and recovery paths.
  • ā€¢Build data foundations for security decisions by improving instrumentation, connecting telemetry, establishing trusted datasets, and identifying data-quality gaps.
  • ā€¢Strengthen detection and response by finding signals of anomalous behavior, risky access, and sensitive-data exposure, and evaluating interventions on real-world outcomes.
  • ā€¢Shape AI-powered cybersecurity products by evaluating how AI systems detect issues, support workflows, and deliver measurable customer value.

Pay and Benefits

Salary: USD 263,000 - 515,000 annually
Equity and Bonus:Equity

Key Requirements

  • ā€¢5+ years of experience in data science, applied research, analytics, or a related quantitative field, owning ambiguous, high-impact problems.
  • ā€¢Experience in cybersecurity, trust and safety, fraud or abuse prevention, privacy, platform integrity, or other domains involving adversarial behavior and hard-to-measure risks.
  • ā€¢Strong proficiency in SQL and Python for investigating complex datasets and building reproducible analytical workflows.
  • ā€¢Experience defining metrics and evaluation frameworks when ground truth is limited and outcomes are delayed.
  • ā€¢Strong judgment in experimentation, causal inference, and observational analysis, with awareness of measurement limitations.
Experience:5+ yearsCybersecurityTrust and safetyFraudPrivacyPlatform integrity
Skills:CommunicationPartnershipJudgmentIndependent problem-solvingExperiment design
Tech Stack:SQLPythonLarge language models

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor