Staff Data Scientist, Finance

📋 Description

• Lead driver-based revenue modeling for Snowflake's Finance team.
• Build reliable, explainable production-grade decision systems connecting levers to revenue.
• Own problems spanning driver identification, revenue decomposition, and multi-year forecasting.
• Collaborate with Product Finance, Product Data Science, and Analytics Engineering.
• Develop self-service tools for scenario planning and business reviews.
• Maintain high standards for monitoring, validation, and reproducibility.

🎯 Requirements

• Advanced degree in a quantitative field or equivalent experience.
• 5+ years building production-grade forecasting or ML systems with business impact.
• Strong Python and SQL; productionizing analyses.
• Experience with large-scale data platforms (Snowflake, BigQuery, Redshift, Spark).
• Deep modeling skills: time-series, causal inference, cohort/segmentation.
• Excellent communication; ability to influence stakeholders.