[P] Data Scientist, Policy

Anthropic•Washington, DC

4d•$275,000 - $370,000•Hybrid

About The Position

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. 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. You'll sit at the intersection of data science and public affairs, transforming internal product usage and survey data into clear, accurate, and consistent evidence the Policy team can use to inform its positions, demonstrate Anthropic’s relevance to policymakers, and measure the impact of its work. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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