Senior Data Scientist - Product

The role

You will work with Product and Engineering teams on core operations, AI/ML tools, and experimental features. You will build data models, production pipelines, and analytics frameworks to improve product and customer experience.

What you will do

• Partner with Product Management and Engineering to shape feature roadmaps and design metrics.
• Build efficient data models and high quality production pipelines.
• Build scalable and extensible analytics, ML, and causal inference frameworks.
• Be an early adopter and pro user of Snowflake features to provide design feedback.
• Evaluate the right surface to disseminate insights for maximal impact.
• Influence decisions and drive initiatives with Product Management and Engineering teams.
• Answer questions from the executive team for reporting to the board.
• Contribute to industry reports and similar publications.
• Find optimal solutions to complex and unstructured problems.

Required qualifications

• 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
• Ability to thrive in a dynamic environment

About the company

Snowflake is powering the era of the agentic enterprise. The company is growing fast and scaling its team to enable and accelerate growth.