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Role Overview: As a Product Data Scientist for FOP Optimization at Google, you will play a crucial role in shaping the future of Google Payments by leveraging data and analytics to drive decisions, influencing strategy, and creating business impact across the organization. You will lead a critical part of the payments routing infrastructure, Smart Router, utilizing machine learning and AI to process first-party transactions across Play, YouTube, Ads, and more. Your responsibilities will include driving analytics for the form of payment (FOP) optimization, contributing to B2C analytics with Play and YouTube, and collaborating cross-functionally to define key metrics and support data-driven decision-making. Key Responsibilities: - Play a critical role in shaping the future of Google Payments by leveraging data and analytics to drive decisions, influencing strategy, and creating business impact across the organization. - Identify and solve ambiguous, high-stakes problems, transforming data into clear insights that directly influence leadership decisions (e.g., VPs and directors). - Lead complex projects that combine analytical precision with organizational strategy, delivering clear insights that inform tangible business decisions. - Contribute to the development and alignment of team objectives and key results and analytics strategy to ensure they support broader product and business goals across the Payments organization. - Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision making. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. - 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree. - Master'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). - Experience in product analytics within payments, e-commerce, or financial services. - Ability to take initiative in unstructured environments with a bias for action and sharp attention to detail. If you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. Google is waiting for you! Role Overview: As a Product Data Scientist for FOP Optimization at Google, you will play a crucial role in shaping the future of Google Payments by leveraging data and analytics to drive decisions, influencing strategy, and creating business impact across the organization. You will lead a critical part of the payments routing infrastructure, Smart Router, utilizing machine learning and AI to process first-party transactions across Play, YouTube, Ads, and more. Your responsibilities will include driving analytics for the form of payment (FOP) optimization, contributing to B2C analytics with Play and YouTube, and collaborating cross-functionally to define key metrics and support data-driven decision-making. Key Responsibilities: - Play a critical role in shaping the future of Google Payments by leveraging data and analytics to drive decisions, influencing strategy, and creating business impact across the organization. - Identify and solve ambiguous, high-stakes problems, transforming data into clear insights that directly influence leadership decisions (e.g., VPs and directors). - Lead complex projects that combine analytical precision with organizational strategy, delivering clear insights that inform tangible business decisions. - Contribute to the development and alignment of team objectives and key results and analytics strategy to ensure they support broader product and business goals across the Payments organization. - Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision making. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. - 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree. - Master'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). - Experience in product analytics within payments, e-commerce, or financial services. - Ability to ta
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