Hiring: Staff Product Data Scientist, Google Labs Company: Google Location: New York, NY Job Posted Time: 2026-09-16 16:48:14 Target Skills & Keywords : Linear, Python, R, SQL About the job Experience: •12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). •2 years of work experience (e.g., as a statistician, data scientist, or product analyst), including statistical data analysis such as linear models, multivariate analysis, causal inference, and sampling methods. Required Skills: •Learn more about benefits at Google . •Interface directly with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. •Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. •Share/present analysis to organization executives in order to share insights and influence product direction. •Build and prototype analysis pipelines iteratively to provide insights at scale. •Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity. 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 work experience with a Master's degree. •Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. •For this role, you will be joining the Data Science team within Labs. The Labs Data Science team is a horizontal team, and we help the broader Labs team with metrics, experimentation, evaluation, insights, and data-driven decision making. •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!