Data Scientist, Policy

Anthropics 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 Anthropics work is understood by policymakers around the world. Youll 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 Anthropics relevance to policymakers and measure the impact of its work.

Your analyses will directly inform how legislators regulators and the public understand Anthropics footprint and contribution. This is a highly cross-functional role that is foundational to Anthropics mission of bringing powerful AI to the world in a way that benefits humanity.

• 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

• 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

• 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 Anthropics mission of building safe and beneficial AI

Deadline to apply: None. Applications will be accepted on a rolling basis.

Minimum education: Bachelors 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

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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 arent 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.