Tech Stack
Responsibilities
- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows.
- 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, system issues, performance enhancements, and areas to improve customer experience.
- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate insights for maximal impact.
- Influence decisions and drive initiatives with Product Management and Engineering teams to drive better outcomes for customers.
Benefits
- Learning Budget
Culture
AI-Native ThinkingExperimental MindsetLow-Ego CultureFast-Paced
Requirements
Required: MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
Regions: Us
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About Snowflake
Industry: data warehousing
Size: enterprise
Snowflake is a data warehousing company powering the era of the agentic enterprise and empowering enterprises to achieve their full potential through impact, innovation, and collaboration.
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