Senior Product Data Scientist, Pixel Growth, Google Store
Job description
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
Learn more about benefits at Google.
- 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.
Minimum
qualifications
- 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).
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).
- 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.
Skills mentioned
Google is a global technology leader that builds products and services across search, advertising, mobile, cloud, AI, and hardware. Its core offerings include the Google Search engine, Google Ads, Android OS, YouTube video platform, and Google Cloud services, which power billions of users worldwide. The company applies machine learning and AI to enhance user experiences, drive innovation in virtual reality, and deliver data-driven advertising solutions. Google's culture emphasizes collaboration, curiosity, and a commitment to solving problems that benefit everyone, fostering a diverse and inclusive environment for employees to create transformative technology.
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