Staff Product Data Scientist
Sunnyvale, CA, USA +3 · Staff · Full-time · Posted Oct 9, 2026
- Location
- Sunnyvale, CA, USA
Boulder, CO, USA
New York, NY, USA
Seattle, WA, USA - Experience
- 10 years, or 8 years with a Master's degree; 8 years in product analytics and 8 years in data modeling. Preferred: 12 years of analytics, statistical analysis, and coding experience.
- Education
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
About the job
Leads product analytics and data infrastructure work for Google Workspace, including measurement of Generative AI and agentic tooling and analytics supporting product decisions.
What you'll do
- Develop metric frameworks to evaluate Generative AI and agentic tooling effectiveness, adoption, and efficiency.
- Manage cross-team telemetry and infrastructure projects and build scalable data models connecting product domains.
- Enable self-serve analytics through semantic layers, metric stores, dashboards, and AI-powered tooling.
What they ask for
- Bachelor's degree in a quantitative field.
- 10 years of analytics, statistical analysis, and coding experience, or 8 years with a Master's degree.
- 8 years of product analytics experience, including engagement metrics, funnel analysis, and A/B testing infrastructure.
- 8 years of data modeling experience; experience operating distributed data processing engines.
Nice to have
- Master's degree in a quantitative field.
- 12 years of analytics, statistical analysis, and coding experience.
Pay
$192000 - $278000 (USD) base salary
Tools
Python, R, SQL
AI focus
Develops metrics to evaluate Generative AI and agentic tooling in Workspace products and scopes AI-powered self-serve analytics tooling.
Model-written summary · the original posting is authoritative