Senior Data Scientist Manager, Product, Google Pay

Senior Data Scientist Manager, Product, Google Pay
Join to apply for the
Senior Data Scientist Manager, Product, Google Pay
role at
Google
Senior Data Scientist Manager, Product, Google Pay
Join to apply for the
Senior Data Scientist Manager, Product, Google Pay
role at
Google
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience and a Master's degree).
5 years of experience as a people manager within a technical leadership role.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience and a Master's degree).
5 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
6 years of experience as a people manager within a technical leadership role.
Experience in product analytics within Payments, e-commerce, or financial services.
Ability to manage sprint planning and execution across analysts, with clear alignment to executive leadership.
Excellent initiative in unstructured environments, with attention to detail.
About The Job
You will be joining a talented pool of team mates that care about the experience of users on Google Pay in India every month, and be part of the journey to make payments on GPay India simple, safe and reliable. The Payments team at Google is operating in an environment, in the midst of high growth and innovation, with an ambitious goal of building products that unlock opportunities for users, merchants and institutions.
Google Payments analysts drive decisions by turning data into insight. Whether modeling business scenarios, optimizing funnels, or building high-impact metrics, your work builds roadmaps, marketing, and operations across countries. You will lead projects, balance detail with big-picture thinking, and provide executive leaders with critical planning and reporting support helping steer Payments through a period of growth.
Responsibilities
Define OKRs, evolve GPay India’s analytics strategy, and deliver insights at across new product bets in Consumer, Merchant, business generation, and Reliability.
Drive clarity on ambiguous, stakes problems by independently structuring analyses and transforming complex data into actionable insights that influence VP- and Director-level decisions.
Lead and grow a team developing talent, raising technical standards, guiding prioritization, and ensuring clear communication of insights to executive stakeholders.
Introduce more statistical methods and problem-solving techniques, and advocating best practices to enhance the technical depth and impact of the team.
Implement Gen AI–based approaches to automate insights, enable faster decision-making, and explore agentic analytics use cases across the Payments ecosystem.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology and Engineering
Industries Information Services and Technology, Information and Internet
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