Product Data Scientist Manager, Play Apps

Job Description **Job Description:** **Role Overview:** As a Product Data Science Manager in the Play Apps team at Google, you will collaborate with stakeholders across Play Apps to define metrics and lead a team of data scientists to deliver impactful analysis. You will be responsible for setting the team's goals, priorities, and roadmap to support partner Product Management and Engineering teams. Your role will involve setting Objectives and Key Results (OKRs) for partner work streams and providing thought leadership to unlock insights crucial for product development and operational decisions. You will play a vital role in delivering strategic insights and high-quality data models that influence product and business strategy, enabling teams to make decisions that enhance user experience and drive business growth. **Key Responsibilities:** - Define team roadmap, prioritize tasks, coordinate resources, and provide technical leadership aligned with long-term objectives. Support team development through mentorship and ongoing feedback. - Provide investigative thought leadership by leveraging insights and analytics to guide decisions and alignment across the organization. - Define product success metrics, offer problem-solving Point of View (PoV) in performance/strategic reviews, and synthesize insights from multiple projects to provide investigative recommendations for long-term product development strategies. - Identify and measure the success of product efforts by setting goals, forecasting, and monitoring key product metrics to understand trends. - Anticipate investigative challenges, address them proactively as a trusted authority and domain expert, and conduct problem framing, analysis, and business cases. **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, perform statistical analysis, and code (e.g., Python, R, SQL) or 8 years of experience with an advanced degree. - 3 years of experience as a people manager within a technical leadership role. - Strong communication and presentation skills to deliver findings of analysis. *Note: The job description also includes details about the company's commitment to diversity and equal employment opportunities, along with relevant application accommodation information.* **Job Description:** **Role Overview:** As a Product Data Science Manager in the Play Apps team at Google, you will collaborate with stakeholders across Play Apps to define metrics and lead a team of data scientists to deliver impactful analysis. You will be responsible for setting the team's goals, priorities, and roadmap to support partner Product Management and Engineering teams. Your role will involve setting Objectives and Key Results (OKRs) for partner work streams and providing thought leadership to unlock insights crucial for product development and operational decisions. You will play a vital role in delivering strategic insights and high-quality data models that influence product and business strategy, enabling teams to make decisions that enhance user experience and drive business growth. **Key Responsibilities:** - Define team roadmap, prioritize tasks, coordinate resources, and provide technical leadership aligned with long-term objectives. Support team development through mentorship and ongoing feedback. - Provide investigative thought leadership by leveraging insights and analytics to guide decisions and alignment across the organization. - Define product success metrics, offer problem-solving Point of View (PoV) in performance/strategic reviews, and synthesize insights from multiple projects to provide investigative recommendations for long-term product development strategies. - Identify and measure the success of product efforts by setting goals, forecasting, and monitoring key product metrics to understand trends. - Anticipate investigative challenges, address them proactively as a trusted authority and domain expert, and conduct problem framing, analysis, and business cases. **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, perform statistical analysis, and code (e.g., Python, R, SQL) or 8 years of experience with an advanced degree. - 3 years of experience as a people manager within a technical leadership role. - Strong communication and presentation skills to deliver findings of analysis. *Note: The job description also includes details about the company's commitment to diversity and equal employment opportunities, along with relevant application accommodation information.*