Senior Data Scientist - Product

About the position

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake's most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

Responsibilities

• Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
• Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
• Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
• Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
• Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
• Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
• Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
• Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

Requirements

• MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
• 8+ years of relevant data science or related experience.
• Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
• Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
• High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
• Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.
• The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

Benefits

• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending & health savings account
• At least 12 paid holidays
• Paid time off
• Parental leave
• Employee assistance program
• Other company benefits