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Описание вакансии
Текст:
TL;DR
Data Scientist, Policy (AI): Transforming product usage and survey data into evidence to inform policy positions and demonstrate company relevance to policymakers with an accent on causal inference and public data analysis. Focus on designing measurement frameworks for policy impact, building consistent data pipelines, and translating complex data into actionable recommendations for legislators.
Location: New York City, NY; San Francisco, CA; or Washington, DC, with at least 25% of working time in an Anthropic office
Annual salary: $285,000–$380,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
- Partner with product and business teams to produce analyses and data collateral for policy papers and partnership discussions.
- Define metrics that accurately represent Anthropic to legislators, regulators, and the public.
- Own dashboards and data pipelines that keep externally shared figures consistent.
- Use AI tools to aggregate news, policy developments, and public data to track regulatory trends.
- Develop measurement frameworks for policy communications, paid media, and public-affairs campaigns.
- Design policy analyses to support position development and measure implementation impact.
Requirements
- Bachelor’s degree or equivalent education, training, and experience in a relevant field.
- Proficiency in Python, SQL, and data analysis tools, including work with external and public data sources.
- Experience producing analyses for external audiences such as policy, communications, investor relations, public affairs, or published research.
- Applied causal inference using quasi-experimental methods, including difference-in-differences, regression discontinuity, synthetic control, instrumental variables, or matching.
- Ability to translate complex analyses into clear, actionable recommendations for audiences with different levels of technical fluency.
- Experience requirements correspond to the internal job level for the position.
Nice to have
- 6+ years of hands-on data science experience.
- Experience supporting policy, government affairs, or regulatory teams with data and analysis.
- Familiarity with investor-relations or financial-disclosure data standards and consistency requirements.
- Comfort working in ambiguous, fast-moving environments.
- Interest in building safe and beneficial AI systems.
Culture & Benefits
- Collaborative environment focused on high-impact AI research and long-term goals.
- Frequent research discussions and cross-functional collaboration.
- Flexible working hours and office-based collaboration.
- Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
- Visa sponsorship is available, subject to role and candidate eligibility.
Hiring process
- Applications are accepted on a rolling basis with no stated deadline.
- Candidates should follow Anthropic’s guidance on AI usage during the application process.
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