Senior Product Data Scientist, Pixel , Google Store

Google Mountain View, CA, USA

In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).

• 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).
• Experience building predictive models for customer lifetime value (LTV), pricing, or user churn.
• Experience with driving app growth through traffic redirects, engagement, conversion funnel optimizations, and notifications.

Google Store is the first-party e-commerce site for Google's expanding portfolio of hardware products and associated services. As the authoritative place to learn about and purchase Google's hardware, our product range includes Pixel phones, Pixel Watch, Fitbit, Google Home and Health products, and accessories. The data science team drives business and product decisions through measurement, experimentation, modeling, causal inference, and optimization.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and provide investigative thought leadership through proactive and strategic contributions.
• Develop the data science roadmap that delivers against the broader strategy. Establish project goals, coordinate resources, and provide technical leadership.
• Synthesize insights from cross-channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions.
• Define and report key performance indicators (KPIs) during business reviews. Translate analysis results into business insights or product improvement opportunities.
• Build predictive models integrating complex datasets and serve as the subject matter expert driving metrics development, modeling, and presenting to stakeholders.

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.

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