Staff Product Data Scientist, Pixel Growth, Google Store
Google - Mountain View, CA
Hiring: Staff Product Data Scientist, Pixel Growth, Google Store Company: Google Location: Mountain View, CA Job Posted Time: 2026-09-16 17:05:50 Target Skills & Keywords : Python, R, SQL About the job Experience: •12 years of 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) and provide investigative thought leadership through proactive and strategic contributions. •Develop the data science roadmap that delivers against the broader strategy. Establish project goals, coordinate resources, and provide technical leadership. •Synthesize insights from cross-channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions. •Define and report Key Performance Indicators (KPIs) during business reviews. Translate analysis results into business insights or product improvement opportunities. •Build predictive models integrating complex datasets and serve as the subject matter expert driving metrics development, modeling, and presenting to stakeholders. Qualifications: •Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. •10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree. •Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. •US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits Compensation: •US: $192000 - $278000 (USD) + 20% 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!