Staff Data Scientist, Revenue Modeling

Snowflake; Menlo Park (CA); On-site; USD 184,000 - 265,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid holidays

Job summary

Snowflake is seeking a Staff Data Scientist in Finance to lead driver-based revenue modeling and connect business levers to revenue outcomes. You will own high-impact forecasting problems across product categories, partnering with Product Finance, Product Data Science, and go-to-market teams.

You will build scalable models, ensure data quality, and communicate with senior leaders about drivers, uncertainties, risks, and implications for planning and prioritization.

Qualifications

• Advanced degree or equivalent practical experience in a quantitative field.
• 5+ years building/operating production-grade forecasting or ML systems with business impact.
• Strong skills in time-series forecasting, causal inference, and cohort methods.
• Ability to work with imperfect telemetry and defend assumptions.

Responsibilities

• Own and scale a driver-based revenue modeling framework across product categories.
• Define driver trees, attribution rules, and taxonomies linking adoption, usage, and revenue.
• Develop statistical and ML methods to identify leading indicators and forecast revenue.
• Forecast drivers across short- and long-range horizons and provide scenario tools for leadership.
• Mentor and raise technical standards across teams.

Skills

Python

SQL

Forecasting

Time-series

Causal inference

Data modeling

Executive communication

Education

Advanced degree in Statistics, Mathematics, Economics, Engineering, or Computer Science

Tools

Snowflake

BigQuery

Redshift

Spark

Job description

Snowflake is seeking a Staff Data Scientist in Finance to lead driver-based revenue modeling and connect business levers to revenue outcomes. You will own high-impact forecasting problems across product categories, partnering with Product Finance, Product Data Science, and go-to-market teams.

You will build scalable models, ensure data quality, and communicate with senior leaders about drivers, uncertainties, risks, and implications for planning and prioritization.