Staff Product Data Scientist, Payments

Company: Google
Location: Mountain View
Posted on: April 1, 2026

Job Description:

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in management consulting, product management and strategy, or analytics in a technology company. Experience working with data analysis, and managing multiple cross-functional programs or projects. Preferred qualifications: Advanced degree or equivalent practical experience. Experience with R, SQL, spreadsheets, or similar analytics tools. Experience working with product and engineering teams. Excellent written and verbal communication skills. 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. As a Staff Product Data Scientist, you will be expected to bring excellence and innovation into how analytics is done leveraging the latest Generative AI tools for data exploration, storytelling, and workflow automation which includes evaluating agentic solutions for analytics acceleration, maintaining high standards of causal inference and experimental design, and integrating these into day-to-day product analytics work. You will define and develop key performance indicators (KPIs) to measure success and improve end-to-end payments experiences across Acquisition and Growth and Innovation, anchored around the canonical user lifecycle journey (awareness, acquisition, activation and engagement). You will provide support for key programs, including the growth of users with forms of payments, digital identity and credentials, and addresses across Google and collaborate with cross-product area partners to ensure consistent measurement and alignment on goals across Google’s product portfolio. Your insights and leadership will directly inform executive decision-making, planning, and reporting as you help shape the future of Google Payments during a period of growth. 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 US base salary range for this full-time position is $192,000-$278,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (VPs and Directors). Develop metrics across various user interaction within payments user flows. Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence. Collaborate cross-functionally with Product, Engineering, and Operations teams to define key metrics and support data-driven decision-making.

Keywords: Google, San Ramon , Staff Product Data Scientist, Payments, IT / Software / Systems , Mountain View, California