Data Scientist, Preparedness

📋 Description

• Evaluate mitigation systems across domains (bio/cybersecurity).
• Diagnose false positives/negatives with deep error analysis.
• Build monitoring frameworks to track mitigation effectiveness.
• Identify trends in over-blocking vs under-blocking; quantify impact.
• Develop insights from feedback to detect adversarial shifts.
• Expand risk monitoring into new areas with domain experts.

🎯 Requirements

• Significant data science experience in high-stakes domains.
• Strong foundations in experimentation and causal inference.
• Fluency in SQL and Python for analysis and modeling.
• Experience building metrics, dashboards, and monitoring.
• Cross-functional impact with engineering, product, and research.
• Cybersecurity data science experience; threat modeling preferred.

🎁 Benefits

• Equity included as part of compensation.
• Collaborative, mission-driven culture.
• On-site role in San Francisco with benefits.