Data Scientist, Cybersecurity

Highlights

• Define how AI-agent security is measured across controls, behavior and risks.
• Shape AI-powered security products and improve internal security controls.
• Strengthen detection of anomalous behavior and risky access in AI systems.

What they offer

• Equity

Ideal candidate

Senior data scientist who thrives in ambiguity and cares about cybersecurity in the age of AI agents. You partner across security and product to turn messy risks into clear, measurable improvements without adding friction.

Requirements

• 5+ years of experience in data science, applied research, analytics, or related quantitative field
• Experience in cybersecurity, trust and safety, fraud or abuse prevention, privacy, or platform integrity
• Strong proficiency in SQL and Python, including reproducible analytical workflows
• Experience defining metrics and evaluation frameworks when ground truth is limited
• Strong judgment in experimentation, causal inference, and observational analysis
• Ability to partner with security, product, engineering, research, and senior leaders
• Ability to translate technical analysis into improvements in products, systems, or controls
• Comfort operating independently and defining roadmap in a new domain