Staff Data Scientist, Finance

Job summary

Responsibilities

We are hiring a Staff Data Scientist to lead the next phase of Snowflake's driver-based revenue modeling program. This role is not just about building models. It is about creating reliable, explainable, production-grade decision systems that connect upstream business and product levers to revenue…

• Own and scale a standardized driver-based revenue modeling framework across Snowflake's product categories, building on the Data Engineering model and extending it to AI/ML…
• Define clear driver trees, attribution rules, measurement standards, assumptions, and taxonomies that connect customer adoption, workload volume, usage intensity, unit economics…
• Develop statistical, econometric, and machine learning methods to identify leading indicators, estimate lagged and causal relationships, quantify substitution or complementary…
• Forecast key drivers and revenue across short- and long-range horizons, using direct, driver-based, cohort, hierarchical, probabilistic, or blended approaches according to the…
• Build self-service scenario, decomposition, and what-if tools with monthly and multi-year views by workload, region, theater, and cohort, helping Product and Finance leaders…

What they're looking for

• Advanced degree in Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science, or a related quantitative field, or equivalent practical experience.
• 5+ years of experience building and operating production-grade statistical, forecasting, econometric, or machine learning systems with meaningful business impact.
• Strong hands-on experience with business-critical forecasting, driver-based or unit-economics modeling, financial planning, demand or capacity planning, or other systems that…
• Deep modeling skills, including strong judgment around time-series forecasting, causal inference, panel or cohort methods, segmentation, hierarchical or probabilistic models, and…
• Ability to work with imperfect or limited telemetry, define defensible assumptions, identify and close data gaps, and distinguish true business movement from instrumentation…

Tech stack

• Python
• SQL
• BigQuery
• Spark
• Snowflake