Job Details

Staff Data Scientist, Product, Workspace

  2025-07-07     Google     San Francisco,CA  
Description:

Staff Data Scientist, Product, Workspace

Join to apply for the Staff Data Scientist, Product, Workspace role at Google.

This position is open for applications with the application window remaining until at least June 10, 2025. The role offers locations in Sunnyvale, CA, Boulder, CO, New York, NY, San Francisco, CA, Seattle, WA, and Kirkland, WA. Note: By applying, you can specify your preferred work location.

Minimum qualifications:

  • Master's degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
  • 7 years of experience with statistical data analysis.
  • 6 years of experience conducting A/B tests to improve product metrics.
  • 5 years of experience with data mining, querying, and managing investigative projects.
  • 3 years of experience developing and managing metrics or evaluating programs/products.

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related fields.
  • 12 years of experience solving product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job

Help serve Google's global user base by providing quantitative support, market understanding, and insights to partners. As a Data Scientist, you will analyze data, tell stories with insights, and make recommendations to improve products and processes.

Google Workspace is a cloud-based productivity suite with over three billion users worldwide. Join us in shaping the future of hybrid work in an innovative environment.

Responsibilities:

  • Perform analysis using tools like SQL, R, Python; suggest new analyses and infrastructure improvements.
  • Own project outcomes, including problem definition, data manipulation, visualization, modeling, and stakeholder presentation.
  • Lead and develop solutions for ambiguous problems, framing hypotheses and making recommendations.
  • Coordinate cross-functional projects, develop process improvements, and define operational goals.
  • Contribute to and develop team members' capabilities.

Additional info

Google is an equal opportunity employer. We value diversity and inclusion and provide accommodations for applicants with disabilities. Learn more about our policies and benefits.

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