The Product Data Scientist role at Google focuses on driving transformative growth within the Health Data Science Team by providing insights and analytics to enhance product usability and user satisfaction. This position involves collaborating with various teams to turn business questions into actionable data analysis and recommendations. The ideal candidate will leverage their expertise in statistical analysis and data science to inform key product decisions and optimize user engagement. The role is centered around improving Google Health and Fitbit products through data-driven strategies.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications and coding in Python, R, or SQL, or 2 years of experience with a Master's degree.
• Master's degree in a relevant quantitative field is preferred.
• 5 years of experience with statistical data analysis, modeling, and causal inference.
• Experience in extracting and analyzing large data sets with SQL and designing ETL flows.
• Excellent programming skills in SQL and Python.

• Drive analysis to contribute to the development of an AI-powered personal health coach.
• Inform key product decisions to improve usability and user satisfaction.
• Conduct analysis and experimentation for full funnel optimization, focusing on subscription growth.
• Deliver effective presentations of recommendations to stakeholders.
• Develop and automate reports and dashboards to provide insights at scale.

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