Staff Product Data Scientist, ML Resource Efficiency
Sunnyvale, CA, USA · Staff · Full-time · Posted Sep 22, 2026
- Experience
- 10 years, or 8 years with a Master's degree; preferred: 13 years, or 10 years with a Master's degree.
- Education
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
About the job
Provides strategic data analysis and recommendations to improve the efficiency, scalability, and cost of Google’s ML infrastructure.
What you'll do
- Analyze infrastructure efficiency opportunities and provide analytical thought leadership using relevant tools.
- Lead projects from problem definition and metrics through data analysis, modeling, recommendations, and stakeholder presentations.
- Coordinate cross-functional processes, improve operations, and develop colleagues’ capabilities.
What they ask for
- Bachelor's degree in a related quantitative field.
- 10 years of relevant analytics, statistical analysis, and coding experience, or 8 years with a Master's degree.
- Experience using analytics to solve product or business problems and coding with Python, R, or SQL.
Nice to have
- Master's degree in a related quantitative field.
- Experience with statistical packages, databases, data warehouses, business intelligence and analytical tools, or commercial reporting tools.
Pay
$192000 - $278000 USD base salary
Tools
SQL, R, Python, SAS, Stata, MATLAB
AI focus
Analyzes opportunities to improve the efficiency and cost-effective scaling of ML infrastructure and compute resources.
Model-written summary · the original posting is authoritative