Senior Data Scientist

Responsibilities

• Own and improve production forecasting systems for core financial metrics, including revenue and bookings in a consumption-based business
• Build and maintain scalable statistical and machine learning models translating customer behavior and usage patterns into actionable forecasts
• Design forecasting approaches prioritizing accuracy, stability, explainability, and robustness
• Establish standards for model evaluation, backtesting, and uncertainty quantification
• Diagnose material forecast movements and separate business changes from data issues or model artifacts
• Improve forecasting stack reliability through monitoring, anomaly detection, and lifecycle management
• Partner with Analytics Engineering and peer Data Scientists on shared infrastructure and production processes
• Communicate forecast changes, risks, and model behavior clearly to senior leaders

Requirements

• Advanced degree in Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science, or a related quantitative field
• 5+ years of experience building and operating production-grade statistical or machine learning systems
• Strong hands-on experience with forecasting problems (revenue, demand, supply, or capacity)
• Deep modeling skills including hierarchical, Bayesian, probabilistic, deep learning, or state-space models
• Proficiency in Python and SQL
• Experience with large-scale data systems like Snowflake, BigQuery, Redshift, or Spark
• Demonstrated ownership of high-stakes outputs used by executive stakeholders
• Strong systems thinking regarding monitoring, validation, and anomaly detection

Preferred Qualifications

• Experience forecasting in consumption-based or usage-based SaaS business models
• Experience with executive-facing financial forecasts or planning systems
• Experience owning models with daily or near-daily production outputs
• Experience mentoring other scientists and shaping modeling standards

About the Company

Snowflake is powering the era of the agentic enterprise, providing a cloud-based data platform that helps organizations manage and analyze their data at scale.