Data Scientist, Preparedness

Job summary

Responsibilities

Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.

• Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society
• Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems
• Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas).
• Diagnose false positives and false negatives with deep error analysis, root cause investigation, and clear recommendations for mitigation adjustments.
• Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.

What they're looking for

• An autonomous operator: you can take a problem statement and independently structure the analysis end-to-end.
• Strong at executive-ready communication: concise, clear, and outcome-oriented.
• Skilled in turning analysis into productable changes: you’re comfortable influencing across functions to drive mitigation improvements.
• Significant experience in data science or applied analytics in high-stakes domains (e.g., security, trust & safety, abuse prevention, fraud, platform integrity, or reliability).
• Strong foundations in experimentation, causal thinking, and/or observational inference; ability to design robust measurement under imperfect data.

Tech stack

• SQL
• Python