Hiring: Staff Data Scientist, Finance Company: Snowflake Location: Dublin, CA Job Posted Time: 2026-09-03 10:23:16 Employment Type: Hybrid Target Skills & Keywords : BigQuery, Financial Planning, Machine Learning, Python, Redshift, SQL, SaaS, Snowflake, Spark About the job Experience: •Modeling or forecasting in a consumption-based, usage-based, or hybrid SaaS business. •Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. •How do you want to make your impact? Required Skills: •This role is well suited for someone who combines modeling depth, causal and business reasoning, production rigor, and a high sense of ownership. •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, Analytics, and other workloads. •Define clear driver trees, attribution rules, measurement standards, assumptions, and taxonomies that connect customer adoption, workload volume, usage intensity, unit economics, pricing, and use-case or migration cohorts to revenue. •Develop statistical, econometric, and machine learning methods to identify leading indicators, estimate lagged and causal relationships, quantify substitution or complementary effects, and separate signal from telemetry or model artifacts. •Forecast key drivers and revenue across short- and long-range horizons, using direct, driver-based, cohort, hierarchical, probabilistic, or blended approaches according to the structure and data quality of each workload. •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 understand forecast beats or misses, compare base and stretch cases, and quantify the actions required to achieve revenue targets. •Establish high standards for point-in-time evaluation, backtesting, stability testing, forecast reconciliation, confidence intervals, attribution, and documented model or assumption changes. •Productionize and operate frequently refreshed pipelines and applications with strong data-quality gates, monitoring, anomaly detection, versioning, reproducible backfills, and safe lifecycle management. Compensation: •$184,000 - $264,500 / year •For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!