As a Data Scientist at Google, you will have the opportunity to help serve a worldwide user base of more than a billion people. You will provide quantitative support, market understanding, and a strategic perspective to partners throughout the organization. Your role will involve using analytics to solve product or business problems and provide meaningful insights from data to assist in decision-making. Here's what you can expect in this role:
**Key Responsibilities:**
Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (VPs and Directors). - Lead complex projects that combine investigative with organizational strategy, deliver clear and actionable insights that inform business decisions. Become a strategic thought partner to stakeholders across product, engineering, and executive leadership, influencing key decisions at multiple levels. - Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence. Contribute to the development and alignment of team OKRs 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. Advocate best practices in data science, ensure the adoption of scalable, efficient methodologies across projects. **Qualifications Required:**
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. - 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). **Preferred Qualifications:**
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. - 8 years of work 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 manage and organize work sprints for themselves and a team for analysts, align/communicate/agree the same with executive management. - Ability to lead in unstructured environments, with a bias for action and sharp attention to detail. - Excellent cross-functional collaboration skills, with experience influencing executive stakeholders through regular communication. In this role, you will play a critical part in shaping Payments products and solutions at Google. You will be involved in leading a team responsible for optimizing Payments routing infrastructure, utilizing Machine Learning (ML) and Artificial Intelligence (AI) to process billions of first-party transactions across various Google services. Your work will involve driving analytics for FOPs optimization, global launches, and B2C analytics to enhance user experience on Google products like Play and YouTube. Google is an equal opportunity workplace and is committed to diversity and inclusion. If you have a disability or special need that requires accommodation, please inform Google by completing the Accommodations for Applicants form. Click on Apply to learn more about this exciting opportunity. As a Data Scientist at Google, you will have the opportunity to help serve a worldwide user base of more than a billion people. You will provide quantitative support, market understanding, and a strategic perspective to partners throughout the organization. Your role will involve using analytics to solve product or business problems and provide meaningful insights from data to assist in decision-making. Here's what you can expect in this role:
**Key Responsibilities:**
Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (VPs and Directors). - Lead complex projects that combine investigative with organizational strategy, deliver clear and actionable insights that inform business decisions. Become a strategic thought partner to stakeholders across product, engineering, and executive leadership, influencing key decisions at multiple levels. - Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence. Contribute to the development and alignment of team OKRs 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. Advocate best practices in data science, ensure the adoption of scala
