About the role
Snowflake is hiring a Senior Data Scientist for its Finance Data Science team, US remote.
The Finance Data Science team owns the forecasting systems behind Snowflake's revenue planning and long-term financial strategy. Work supports corporate planning, executive decision-making, and investor reporting. The team partners with Product and Sales to understand customer behavior and product impact at the intersection of ML, statistical research, and corporate finance.
You independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. Specific work: hierarchical and state-space models, Bayesian approaches, multivariate forecasting. You also contribute to internal tooling and shared infrastructure, establish best practices for backtesting/uncertainty/scenario simulation, and mentor other data scientists.
Required: advanced quantitative degree, 8+ years building and deploying production ML or statistical systems, deep time-series and probabilistic modeling experience.
What stands out: foundational team for executive decision-making and investor reporting. The output goes to the CFO and board, not a Tableau dashboard.
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