Hiring: Senior Product Data Scientist, Search App Growth Company: Google Location: Mountain View, CA Job Posted Time: 2026-09-16 14:05:26 Target Skills & Keywords : Android, Python, R, SQL, iOS About the job Experience: •8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Required Skills: •Learn more about benefits at Google . •Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution. •Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. •Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities. •Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development. •Maintain a broad understanding of Search App Growth across iOS and Android, including browsers. Qualifications: •Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. •8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). •Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. •Magpie Data Science supports broader Search including the Mobile Apps, Discovery, Multimodal and AI Search. We are a dynamic and exciting bunch working on the cutting edge of Search at Google. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. •US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits Compensation: •US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!