Data Scientist, Cybersecurity

Job summary

Responsibilities

We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents.

• Define how we measure AI-agent security. Establish metrics and evaluation frameworks for security-control coverage, agent behavior, sensitive actions, access patterns, detection…
• Improve security controls without introducing unnecessary friction. Quantify the effectiveness and operational costs of safeguards, including false positives, blocked actions…
• Build the data foundations for security decisions. Partner with engineering and data teams to improve instrumentation, connect fragmented telemetry, establish trusted datasets…
• Strengthen detection and response. Identify meaningful signals of anomalous behavior, risky access, sensitive-data exposure, and other security-relevant activity.
• Shape AI-powered cybersecurity products. Partner with product, engineering, and research teams to assess how effectively AI systems identify security issues, support developer…

What they're looking for

• 5+ years of experience in data science, applied research, analytics, or a 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 another domain involving adversarial behavior and difficult-to-measure…
• Strong proficiency in SQL and Python, including experience investigating complex datasets, working through incomplete instrumentation, and building reproducible analytical…
• Experience defining meaningful metrics and evaluation frameworks when ground truth is limited, outcomes are delayed, or important risks cannot be observed directly.
• Strong judgment in experimentation, causal inference, observational analysis, and the practical limitations of different measurement approaches.

Tech stack

• SQL
• Python