Snowflake
Senior Data Scientist - Product
$168K–$220K
US-CA-Menlo Park +1 · Senior · Full-time · Posted Aug 27, 2025
- Location
- US-CA-Menlo Park
US-WA-Bellevue - Experience
- 8+ years of relevant data science or related experience.
- Education
- MS/Ph.D. in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
About the job
Partner with Product and Engineering to analyze product usage, build data and ML systems, evaluate features, and guide product decisions.
What you'll do
- Shape feature roadmaps and design metrics and analytical workflows with Product and Engineering.
- Build data models, production pipelines, and scalable analytics, ML, and causal-inference frameworks.
- Communicate insights to stakeholders and executives, influence decisions, and provide feedback on Snowflake features.
What they ask for
- Expert-level SQL and Python experience, including scikit-learn, numpy, and pandas.
- Expertise working with large-scale machine-generated data such as logs, application telemetry, or customer usage data.
- High fluency with MPP databases.
- Strong data-driven storytelling skills to influence business leaders and technical stakeholders.
Pay
$168K – $220.5K (USD; base salary)
Tools
SQL, Python, scikit-learn, numpy, pandas, Snowflake, Redshift, BigQuery
AI focus
Build and use analytics/ML tools and frameworks to understand feature usage, identify system issues and performance enhancements, and improve customer experience.
Model-written summary · the original posting is authoritative