The Staff Product Data Scientist role at Google Labs focuses on leveraging data science to support product development and decision-making. The Data Science team within Labs collaborates with product managers and engineers to conduct analyses that drive insights and influence product direction. This position involves working with large data sets and applying advanced analytical methods to solve complex problems. The goal is to develop scalable analytical tools and communicate actionable results to enhance product outcomes.

• 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 is preferred.
• 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) is preferred.
• 2 years of work experience as a statistician, data scientist, or product analyst, including statistical data analysis such as linear models, multivariate analysis, causal inference, and sampling methods.

• Work with large, complex data sets to solve difficult, non-routine analysis problems.
• Conduct end-to-end analysis that includes data gathering, processing, analysis, and presentations.
• Share and present analysis to organization executives to influence product direction.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.