Product Data Scientist, Consumer Payments

Google Inc.; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google Mountain View, CA, USA is seeking a Product Data Scientist for the Consumer Payments domain. The role focuses on shaping payments products, dissecting business, product, growth, and operational metrics, and advising leaders with data-driven recommendations.

The candidate will manage multiple projects, balance technical detail with strategic goals, and explore Gen AI tools to enhance data exploration and workflow automation.

Qualifications

• Bachelor's degree in statistics or a related quantitative field or equivalent practical experience.
• 5 years of work experience with analysis applications and coding in Python, R, SQL, or 2 years with a Master's degree.

Responsibilities

• Shape Payments products by turning data into actionable insights.
• Coordinate with cross-functional teams to measure product and business metrics.
• Manage multiple analytics projects, delivering recommendations to leadership.
• Leverage Gen AI tools for data exploration and workflow automation.

Skills

Python

R

SQL

Statistical analysis

Data analysis

Education

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

Job description

Product Data Scientist, Consumer Payments

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• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.

Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Experience working on statistical/casual inference techniques across experimentation and observational studies.
• Experience working in the payments, online ecommerce, or marketplace industry.

About the job

As a Data Scientist, you will help shape Payments products, helping our leaders make decisions. You will coordinate across functions to dissect business, product, growth, acquisition, and operational metrics. You will proactively help leverage data, conduct analyses and make final business recommendations, collaborating with Product teams to help build future looking business models. In this role, you will manage multiple projects at a time, focusing on the details and finding creative ways to take on big picture issues.

You will bring an innovation to how analytics is done leveraging Gen AI tools for data exploration and workflow automation while maintaining high standards of experimental design. You will balance multiple high-stakes initiatives, diving into technical details while keeping a sharp eye on the broader goals of both the Identity and Risk organizations. Define and develop comprehensive measurement frameworks and driver trees to evaluate the health and effectiveness of our Risk and IDV solutions, focusing on both system precision and user experience. Provide analytical leadership for key programs, including the evolution of identity assurance and the scaling of sophisticated risk-mitigation infrastructure. Drive high-impact projects that transform product roadmaps, engineering decisions, tracking systems, and control processes across the identity and risk lifecycles. Collaborate with cross-product area partners to align on success metrics and ensure consistent protection strategies 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 rapid growth.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (e.g., VPs and Directors).
• Lead complex projects that combine investigative with organizational strategy, delivering clear and actionable insights that inform tangible business decisions.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
• Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.