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Staff Data Scientist, Product, Workspace - San Francisco California
Company: Google Location: San Francisco, California
Posted On: 02/07/2025
Staff Data Scientist, Product, Workspacecorporate_fare Google place Sunnyvale, CA, USA ; Boulder, CO, USA ; +3 moreApplyAbout the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.Workspace is a cloud-based productivity suite that is revolutionizing the way people communicate and collaborate with one another. Workspace includes products like Gmail, Calendar, Meet, Documents, Sheets, Slides, Drive and many more. It serves over three billion active users across the globe, it shapes people's experience at home, school and work. With traditional work models being disrupted by the pandemic, this is an exciting time to join an innovative team and help us define the future of hybrid work.Minimum Qualifications: - Master's degree in Statistics, Economics, Engineering, Mathematics, 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 drive improvement of 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 a related quantitative field.
- 12 years of experience solving product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).Responsibilities:
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