Staff Product Data Scientist — ML Resource Efficiency

Google Inc.; Sunnyvale (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google Inc. is seeking a Share Staff Product Data Scientist focused on ML Resource Efficiency in Sunnyvale, CA. You will help optimize ML infrastructure through rigorous data analysis and collaboration with Capital Engineering, Finance, Platforms and Research teams.

The role emphasizes strategic thinking, ambiguity tolerance, and strong communication to influence cost-efficient scaling of Google's ML compute resources globally.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of work experience with a Master's degree.

Responsibilities

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
• Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
• Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.
• Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
• Oversee the contributions of others directly or indirectly, and develop colleagues’ capabilities in the area of specialization.

Skills

Python

R

SQL

Statistics

Education

Bachelor's degree

Master's degree

Tools

Data warehouses

BI tools

Job description

Google Inc. is seeking a Share Staff Product Data Scientist focused on ML Resource Efficiency in Sunnyvale, CA. You will help optimize ML infrastructure through rigorous data analysis and collaboration with Capital Engineering, Finance, Platforms and Research teams.

The role emphasizes strategic thinking, ambiguity tolerance, and strong communication to influence cost-efficient scaling of Google's ML compute resources globally.