Senior Data Scientist

About the Company

Snowflake is powering the era of the agentic enterprise, building production-grade forecasting infrastructure that is foundational to how the company plans and operates.

Responsibilities

• Design and implement advanced time-series and probabilistic models including hierarchical, state-space, and Bayesian approaches
• Contribute to internal tooling and shared infrastructure for scalable forecasting and analytics
• Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation
• Apply advanced statistical and ML techniques to model customer behavior, product adoption, and revenue dynamics
• Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models
• Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives
• Mentor and provide technical guidance to other data scientists

Requirements

• Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent experience
• 8+ years of experience building and deploying production-grade ML or statistical systems
• Significant experience in time-series modeling
• Deep expertise in probabilistic modeling and forecasting methodologies
• Strong proficiency in Python and the scientific Python ecosystem
• Fluency in SQL
• Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark)
• Ability to lead technically ambiguous projects with significant business impact
• Excellent communication skills for presenting findings to executive stakeholders