Staff Data Scientist, Finance
Core
Lead the next phase of Snowflake's driver-based revenue modeling program to create reliable, explainable, production-grade decision systems connecting business levers to revenue outcomes.
Role type
Staff Data Scientist (Finance Strategy & Modeling)
Builds
Driver-based revenue modeling platform and self-service scenario planning tools for executive decision-making.
Domain
SaaS Finance / Revenue Forecasting / Econometrics
Deliverable
production ML models | dashboards & analysis
Required skills
Time-series forecasting, causal inference, driver identification, revenue decomposition, statistical modeling, Python, SQL, production pipeline management, data quality monitoring, executive communication
Preferred skills
Consumption-based SaaS modeling, unit economics, product telemetry analysis, multi-year planning, mentoring technical teams
Technologies
Snowflake, BigQuery, Redshift, Spark
Responsibilities
Define driver trees and attribution rules; develop econometric and ML methods for leading indicators; forecast revenue across short- and long-range horizons; build self-service scenario and what-if tools; establish standards for backtesting and model validation; productionize and operate refreshed pipelines; partner with Product Finance and GTM teams; communicate forecast drivers and risks to senior leaders; set cross-category technical direction and mentor staff.
Seniority
Staff, hands-on IC with strategic leadership
