Senior Data Scientist - Product

Job summary

Responsibilities

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

• 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…
• 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.

What they're looking for

• 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.

Tech stack

• Snowflake
• SQL
• Python
• scikit-learn
• NumPy
• Pandas
• BigQuery