# [P] Data Scientist, Policy

**Company**: Anthropic
**Location**: New York City, NY; San Francisco, CA | New York City, NY; Washington, DC
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $275,000-$370,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5232055008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_467e589d-1c4

## Description

As a Data Scientist 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.

Key responsibilities include partnering with product and business teams to produce supporting analyses and data collateral for specific policy position papers and partnership conversations, determining which metrics faithfully represent the company to legislators, regulators, and the public, owning the dashboards and pipelines that keep externally-shared numbers consistent, and using 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.

Minimum qualifications include proficiency in Python, SQL, and data analysis tools, experience producing analysis that reaches external audiences, and applied causal inference using quasi-experimental designs to measure policy or program impact from observational data.

Preferred qualifications include 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 comfort operating in ambiguous, fast-moving environments.

## Skills

### Required
- Python
- SQL
- data analysis tools
- applied causal inference
- quasi-experimental designs

### Nice to have
- 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

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5232055008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)