Minimum qualifications:

• 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 of work experience with a Master's degree.

Preferred qualifications:

• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of work experience with a Master's degree.
• Experience in product analytics within Payments, e-commerce, or financial services.
• Experience driving large scale projects/incrementally study/value estimation through causal methods.
• Experience as a business/quantitative analyst in e-com, payments or financial services.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

The team operates as a fintech brain trust, running a massive ecosystem serving hundreds of millions of users. What makes this team an exceptional place to build your career is its blend of scale, talent density, and cross-functional exposure.

As a Senior Data Scientist, you will take sharp ownership of your own critical vertical while working side-by-side with colleagues deep-diving into adjacent, bleeding-edge domains. This collaborative environment allows you to constantly learn through osmosis, surrounded by brilliant peers pushing the boundaries of fintech. Our ecosystem is designed for you to naturally expand your scope, swap analytical insights, and pivot across specialties. You will collaborate with teammates partnering with Google DeepMind on next-generation AI, experts bridging payments with digital commerce, and strategic analysts navigating rapid market shifts.

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 analytical excellence with organizational strategy, delivering clear and actionable insights that inform tangible 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.