Data Scientist, Finance Forecasting

Details

As an early member of Anthropic’s Finance Analytics and Business Intelligence team, this role will establish robust analytics engineering and business intelligence capabilities for the Finance & Accounting organization. The Data Scientist will own revenue forecasting models that support capacity planning and board reporting, build backtesting and accuracy practices, and lead causal measurement work to assess the impact of launches and events on revenue.

The team is hiring for two positions, with candidates expected to specialize primarily in either production time-series forecasting or causal inference.

Responsibilities

• Own a core area of the team’s modeling work, including production revenue forecasts or the causal measurement program for launches and events.
• Scope, develop, backtest, deploy, and monitor forecasting models, or design and maintain causal measurement approaches.
• Build and operate backtesting and accuracy-tracking systems, using results to improve model quality.
• Contribute to research on event-aware forecast architectures, hierarchical reconciliation, and causal designs for launch-driven step changes.
• Translate model outputs and accuracy results into clear recommendations for Finance and executive leadership.
• Partner with the Analytics Engineer on feature pipelines, model deployment, and the forecast store.

Requirements

• Substantial experience in data science, forecasting, or quantitative finance, including ownership of production models beyond notebook-based work.
• Deep fluency in Python and SQL, with the ability to productionize models.
• Strong applied statistics foundation with depth in either production time-series methods or causal inference.
• Experience with time-series methods such as Prophet, ETS, ARIMA, gradient-boosted approaches, neural forecasting, or hierarchical reconciliation; or causal inference methods such as difference-in-differences, synthetic control, Bayesian structural time series, or event studies.
• Experience building backtesting and accuracy-tracking practices.
• Experience presenting and defending forecasts or causal estimates to executives.
• Ability to work effectively in ambiguous, early-stage environments.

Preferred Qualifications

• Experience with exogenous-regressor or event-aware forecasting approaches.
• Familiarity with hybrid or foundation-model forecasting, including TimeGPT-class systems.
• Background in pricing and elasticity modeling or marketing-mix modeling.
• Experience forecasting a consumption-based or usage-billed business, such as a cloud, API, or marketplace business.

Education and Logistics

• Bachelor’s degree or equivalent combination of education, training, and experience.
• Relevant field of study demonstrated through coursework, training, or professional experience.
• Anthropic currently expects staff to work from one of its offices at least 25% of the time, with some roles requiring more office time.
• Anthropic sponsors visas and makes reasonable efforts to support visa applications, although sponsorship is not guaranteed for every role or candidate.

Compensation

• Annual salary: $270,000–$345,000 USD

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office-based collaboration spaces.