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Minimum qualifications:

+ Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

+ 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years work experience with a Master's degree.

+ 3 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.

+ 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

+ 7 years of experience in applied data science, with a track record of leading high-performing teams.

+ 4 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 and execute projects with senior stakeholder alignment, and strong cross-functional collaboration and communication skills.

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.

The Payments team builds and operates Google’s monetization infrastructure that enables all Google products to monetize. This monetization engine moves billions of dollars across countries and supports various business models including B2B, B2C, subscriptions, and marketplaces.

As a Staff Data Science Manager, you will balance multiple initiatives, diving into details. You will be a trusted partner to the Payments Platform Leadership team, collaborating across functions to shape analytics strategy, define OKRs, and lead planning and execution across multiple domains. You will manage and mentor a team of analysts while also driving high-impact projects separately, transforming product roadmaps, engineering decisions, tracking systems, and control processes. Your insights and leadership will inform executive decision-making, planning, and reporting as you help shape the future of Google Payments during a period of rapid growth.

As a Data Science Product Leader, you will play a role in shaping the future of Google Payments using data and analytics to drive decisions, influence strategy, and unlock business impact at scale throughout the organization.

The US base salary range for this full-time position is $183,000-$271,000 + 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 (https://careers.google.com/benefits/) .

+ Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and lead a high-performing team of data scientists, fostering technical excellence and impact.

+ Identify, frame, and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that influence leadership decisions.

+ Lead projects that combine investigative and organizational complexity towards clear, sound, and actionable insights.

+ Become a strategic thought partner and leader, influencing a wide range of stakeholders across ladders and seniority.

+ Elevate the role of data science in the organization, setting a high bar for technical aptitude, communication, and stakeholder influence.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.