Staff Data Scientist - Revenue Modeling & Forecasting

Carbon Data Solutions; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Snowflake is seeking a Staff Data Scientist for Finance to lead driver-based revenue modeling and production-grade decision systems. You will work across Product Finance, Product Data Science, Finance Analytics, and GTM teams to translate product activity into forecastable revenue outcomes.

You will own complex modeling tasks, ensure explainability and robustness, and mentor others while scaling a framework across categories. Strong Python/SQL and leadership are essential.

Qualifications

• Advanced degree in Statistics, Mathematics, Operations Research, Economics, Engineering, CS or related field, or equivalent experience.
• 5+ years building and operating production-grade statistical, forecasting, econometric, or ML systems with business impact.
• Strong hands-on forecasting, driver-based or unit-economics modelling, financial planning, or related systems.
• Strong proficiency in Python and SQL, capable of handling large data sets and productionizing analyses.

Responsibilities

• Own and scale a standardized driver-based revenue modeling framework across Snowflake's product categories.
• Define driver trees, attribution rules, measurement standards, and taxonomies that connect adoption, workload, pricing, and revenue.
• Develop statistical, econometric, and ML methods to identify indicators and estimate relationships.
• Forecast key drivers and revenue across short- and long-range horizons using suitable modeling approaches.
• Build self-service scenario tools with monthly and multi-year views by workload, region, and cohort.
• Establish high standards for evaluation, backtesting, and model/version changes.
• Productionize data pipelines with quality gates, monitoring, and versioning.
• Collaborate with product finance, analytics, and GTM teams to validate data gaps and context.
• Communicate forecast drivers, assumptions, and uncertainties to senior leaders.
• Mentor scientists and influence modeling roadmap across categories.

Skills

Python

SQL

Forecasting

Causal Inference

Time-series

Production systems

Data analysis

Mentoring

Education

Advanced degree in Statistics or related field

Tools

Snowflake

BigQuery

Redshift

Spark

Job description

Snowflake is seeking a Staff Data Scientist for Finance to lead driver-based revenue modeling and production-grade decision systems. You will work across Product Finance, Product Data Science, Finance Analytics, and GTM teams to translate product activity into forecastable revenue outcomes.

You will own complex modeling tasks, ensure explainability and robustness, and mentor others while scaling a framework across categories. Strong Python/SQL and leadership are essential.