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Data Scientist, Policy

Anthropic

Role at a glance

Category: AI Governance
Work arrangement: Hybrid
Location: New York, NY
Salary range: $275,000 to $370,000
Posted: Jun 16, 2026

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Anthropic is hiring a Data Scientist, Policy in New York, NY. This is a AI Governance role in the governance, risk, and compliance field, with a posted range of $275,000 to $370,000. Review the full details below and apply directly with Anthropic.

Anthropic is hiring a Data Scientist on its Policy team to turn product usage and survey data into evidence for policymakers. The role develops analyses and dashboards that inform legislators and regulators about the company's impact, and keeps externally shared metrics

Full responsibilities and requirements are on Anthropic's application page.

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About Anthropic

Hiring for governance, risk, and compliance roles on GRC Careers.

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Location and market context

This role is based in New York, NY on a hybrid schedule. Local candidates benefit from being close to Anthropic's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Anthropic would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.