Product Data Scientist Manager, Play Monetization

Role Overview: As a member of the Play Data Science and Analytics team at Google, you will work on challenging projects to drive product decisions for Play. You will be deeply involved in the product development lifecycle, providing insights and support from strategy shaping to project launches. The Platforms and Devices team focuses on developing new technologies to enhance user experiences across Google's computing software platforms and devices. Key Responsibilities: - Synthesize complex insights in key domains such as payments/FOP performance and retailing/buyer activations to shape product roadmaps and optimize purchase flows. - Define product success metrics, design advanced experimentation frameworks, and build scalable measurement views to ensure robust data integrity. - Direct and mentor a team of 5 Product Data Scientists, managing team roadmaps, resource allocation, and technical execution aligned with long-term goals. - Partner with local Play BI, Play Apps and Games teams counterparts to build a thriving local Data Science and Analytics community. - Act as a critical thought partner to Product Management, Engineering, and Strategy teams, translating quantitative findings into actionable features and performance-measurement standards. Qualifications Required: - 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. - 3 years of experience as a people manager within a technical leadership role. - Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred). - 4 years of experience as a people manager within a technical leadership role (preferred). - Experience with developing machine learning models, launch experiments (A/B Testing), and end-to-end data infra and analytics pipelines. - Prior business knowledge and understanding of monetization. (Note: The provided job description did not include any additional details about the company.) Role Overview: As a member of the Play Data Science and Analytics team at Google, you will work on challenging projects to drive product decisions for Play. You will be deeply involved in the product development lifecycle, providing insights and support from strategy shaping to project launches. The Platforms and Devices team focuses on developing new technologies to enhance user experiences across Google's computing software platforms and devices. Key Responsibilities: - Synthesize complex insights in key domains such as payments/FOP performance and retailing/buyer activations to shape product roadmaps and optimize purchase flows. - Define product success metrics, design advanced experimentation frameworks, and build scalable measurement views to ensure robust data integrity. - Direct and mentor a team of 5 Product Data Scientists, managing team roadmaps, resource allocation, and technical execution aligned with long-term goals. - Partner with local Play BI, Play Apps and Games teams counterparts to build a thriving local Data Science and Analytics community. - Act as a critical thought partner to Product Management, Engineering, and Strategy teams, translating quantitative findings into actionable features and performance-measurement standards. Qualifications Required: - 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. - 3 years of experience as a people manager within a technical leadership role. - Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred). - 4 years of experience as a people manager within a technical leadership role (preferred). - Experience with developing machine learning models, launch experiments (A/B Testing), and end-to-end data infra and analytics pipelines. - Prior business knowledge and understanding of monetization. (Note: The provided job description did not include any additional details about the company.)