Data Science, Finance & Strategy

Join Anthropic's Finance Analytics & Business Intelligence team as a Senior Data Scientist. In this role, you will be responsible for measuring the value of our models and our position in the market. You will build a relative-value measurement system, inform pricing and packaging decisions, own launch and market analytics, deepen our market understanding, and partner with Product Finance. This is an open-ended and technical role that requires strong analytical skills and the ability to thrive amid shifting priorities.

- Own the measurement of model value and market position, including the development of a cross-product benchmark suite. - Construct task-cost approximations and price-elasticity estimates to inform pricing and packaging decisions. - Run analytics around model launches, including capability-based revenue analyses and views of the broader market.

- Work fluently with modern tooling: you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse - Put shape around ambiguity: you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask - Thrive amid shifting priorities: you juggle multiple fast-moving workstreams and stay effective when the plan changes weekly - Land narratives with executives: your analyses have changed pricing, product, or competitive decisions, and you can simplify for senior leaders without losing rigor - Stay hands-on at senior scope: you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data - Are inherently curious: you go one level deeper than asked and are energized by how fast models, products, and the market are moving - Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience - Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience - 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 - Experience designing evals or benchmarks for AI models or products - Pricing and packaging analytics at scale, including elasticity estimation - Market share estimation from imperfect third-party, panel, or survey data - Fluency in the LLM model and product landscape - Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness) - Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability