Senior Data Scientist

Join Snowflake's Finance Data Science team as a Senior Data Scientist. In this role, you will lead high-impact modeling initiatives, build production-ready forecasting systems, and work on complex problems at the intersection of machine learning and business strategy. You will also mentor and provide technical guidance to other data scientists.

• Independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics.
• Design and implement advanced time-series and probabilistic models, and contribute to internal tooling and shared infrastructure.
• Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation.
• Demonstrated ability to lead technically ambiguous projects with significant business impact
• Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience
• Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders
• 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)
• Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques
• A track record of elevating technical standards and mentoring other scientists
• 8+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling