Data Scientist, Safety

Highlights

• Build analytical foundations to deploy frontier AI responsibly at scale.
• Measure harmful behavior and detect fraud and coordinated misuse.
• Evaluate safety classifiers and improve mitigation and review workflows.

What they offer

• Equity

Ideal candidate

Strong data scientist who thrives in ambiguous, high-leverage environments and cares about safe AI deployment. Brings strong judgment and ownership, partnering across product, policy, and research.

Requirements

• Strong statistical reasoning and analytical judgment
• Experience with experimentation, causal inference, or observational analysis
• Strong SQL and Python skills
• Experience working with messy, incomplete, or noisy datasets
• Ability to structure open-ended business or risk problems
• Excellent communication with technical and non-technical stakeholders
• High ownership and comfort operating independently