Data Scientist, Finance Forecasting

Location: San Francisco, CA, United States; hybrid policy requiring staff to be in one of the offices at least 25% of the time

Annual salary: $270,000–$345,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Own production revenue forecasts or the causal measurement program for launches and events, covering scoping, development, backtesting, deployment, and monitoring.
• Build accuracy tracking and use model results to improve forecasting quality over successive cycles.
• Contribute to event-aware forecast architectures, hierarchical reconciliation, and causal designs for launch-driven step changes.
• Translate forecasts and causal estimates into recommendations for Finance and executive leadership.
• Partner with an Analytics Engineer on feature pipelines, model deployment, and the forecast store.

Requirements

• Substantial experience in data science, forecasting, or quantitative finance, including owning production models rather than working only in notebooks.
• Deep fluency in Python and SQL, with the ability to productionize developed solutions.
• Strong applied statistics foundation with depth in either production time-series methods, including Prophet, ETS, ARIMA, gradient-boosted approaches, neural forecasting, and hierarchical reconciliation, or causal inference, including difference-in-differences, synthetic control, Bayesian structural time series, and event studies.
• Previous experience building backtesting and accuracy-tracking discipline and working with publicly scored models.
• Experience presenting and defending a forecast or causal estimate to executives.
• Bias for action and ability to work effectively in ambiguous, early-stage environments.
• Bachelor’s degree or an equivalent combination of education, training, and experience in a field relevant to the role as demonstrated through coursework, training, or professional experience.

Nice to have

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

Culture & Benefits

• Collaborative environment focused on a small number of large-scale AI research efforts and empirical, high-impact work.
• Flexible working hours, generous vacation and parental leave, competitive benefits, optional equity donation matching, and an office for collaboration.
• Visa sponsorship is available, although sponsorship cannot be guaranteed for every role or candidate; immigration lawyer support is provided.
• Applicants are encouraged to apply even if they do not meet every listed qualification.
• Candidate AI usage is governed by Anthropic’s application-process policy.