Data Scientist, Preparedness

What you'll do

• Evaluate mitigation systems and analyze false positives, false negatives, and root causes.
• Build monitoring frameworks to measure effectiveness and identify over-blocking, under-blocking, and emerging risks.
• Communicate decision-ready findings and recommendations to technical and executive stakeholders.

What they ask for

• Significant experience in data science or applied analytics in a high-stakes domain.
• Strong foundations in experimentation, causal thinking, and/or observational inference.
• Fluency in SQL and Python (or equivalent) for analysis, modeling, and monitoring workflows.
• Experience building outcome-changing metrics, dashboards, and operational monitoring.

Nice to have

• Cybersecurity data science experience, including exposure to threat modeling, adversarial dynamics, abuse patterns, or security telemetry.
• Trust & Safety experience is helpful, but not required.

Pay

$345K – $385K USD base salary

Tools

SQL, Python

AI focus

Build and evaluate mitigations against extreme harms from AI systems, including monitoring risks related to cybersecurity and model loss-of-control or sabotage scenarios.