Senior Data Scientist Manager, Product, Google Pay
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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.
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