Senior Data Scientist - Product
Snowflake · US-CA-Menlo Park · US-WA-Bellevue
Big Tech AIonsitesenior$168k–$221k
At a glance
Highlights
- Partner with Product and Engineering to shape feature roadmaps and success metrics.
- Drive long-running analytics that yield substantial product enhancements.
- Help shape the future of Snowflake products in a strategic high-impact role.
Ideal candidate
An AI-native, low-ego data scientist with 8+ years experience who thrives in fast-moving environments and loves partnering with product to turn complex ambiguous problems into customer impact.
Requirements
- MS/Ph.D. in quantitative discipline such as Math, Statistics, Operations Research, Economics, Engineering, or CS
- 8+ years of relevant data science or related experience
- Expert-level experience with SQL and Python including scikit-learn, numpy, and pandas
- Experience working with large-scale machine-generated data such as logs, telemetry, or usage data
- High fluency with MPP databases such as Snowflake, Redshift, BigQuery, or Vertica
- Expert data-driven storytelling skills to influence business and technical stakeholders
- Ability to thrive in a dynamic environment and do whatever it takes to contribute
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
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