Data Scientist, Policy
Data Scientist focused on policy work, transforming internal usage and survey data into evidence for policymakers. Requires Python, SQL, causal inference expertise, and experience producing external-facing analyses.
About the job
Key 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
Minimum qualifications
- 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
Preferred qualifications
- 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
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
Skills
Python, SQL, Causal Inference, Difference-In-Differences, Regression Discontinuity, Synthetic Control, Instrumental Variables, Matching, Data Analysis, Dashboard Development
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