Data Scientist, Policy

About the role

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of our first Data Scientists dedicated to policy work, you will play a key role in ensuring Anthropic's work is understood by policymakers around the world.

What you’ll do

• Your analyses will directly inform how legislators, regulators, and the public understand Anthropic's footprint and contribution. This is a highly cross-functional role that is foundational to Anthropic's mission of bringing powerful AI to the world in a way that benefits humanity.
• Partner with product and business teams across the company to produce supporting analyses and data collateral for specific policy position papers and partnership conversations
• Determine which metrics faithfully represent our company to legislators, regulators, and the public
• Own the dashboards and pipelines that keep externally-shared numbers consistent, so the Policy team can move quickly without creating discrepancies
• Use AI tools to aggregate news, policy developments, and other public data sources to track trends and provide a clear picture of the evolving regulatory landscape
• Develop measurement frameworks for policy communications, paid media, and public-affairs campaigns
• Design and implement policy analyses to support internal position development or measure the impact of policy implementation for external audiences

What they’re looking for

Select a requirement to inspect fit, evidence or application context.

• Proficiency in Python, SQL, and data analysis tools, with experience working with external and public data sources
• Experience producing analysis that reaches external audiences such as policy, communications, investor relations, public affairs, or published research
• Applied causal inference using quasi-experimental designs (e.g., difference-in-differences, regression discontinuity, synthetic control, instrumental variables, or matching) to measure policy or program impact from observational data
• Demonstrated ability to translate complex analyses into clear, actionable recommendations for audiences with differing levels of technical fluency
• 6+ years of hands-on data science experience
• Direct experience supporting a policy, government affairs, or regulatory team with data and analysis
• Familiarity with investor-relations or financial-disclosure data standards and the consistency requirements they entail
• Comfort operating in ambiguous, fast-moving environments where creating clarity and driving progress is part of the role
• A genuine interest in Anthropic's mission of building safe and beneficial AI
• A field relevant to the role as demonstrated through coursework, training, or professional experience