Data Scientist, Policy
Anthropic · New York City, NY; San Francisco, CA | New York City, NY; Washington, DC · Data Science & Analytics · listed May 27, 2026
The shape of it
Seniority
Senior
Experience asked
6+ years
Where
Hybrid
Stated pay
$285,000 – $380,000 USD
Requirements listed
4
Length
1,022 words
In the posting’s own words
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.
What it asks for · 4
- 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
Also a plus
- 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
What the job covers
- 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
Tools and skills named
Languages
- Python
- SQL
Security & compliance
- Regulatory2×
Models & research
- Inference
Ways of working
- Cross-functional
Words the posting leans on
- data11×
- policy11×
- public6×
- analyses4×
- experience4×
- analysis3×
- clear3×
- impact3×
- measure3×
- consistent2×
- creating2×
- data science2×
- data sources2×
- design2×
- development2×
- external audiences2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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