Staff Product Data Scientist, Pixel Growth, Google Store
Mountain View, CA, USA · Staff+
Sponsorship not specified$192k-$279kDetected 9 hours ago
PythonSQLData ScienceStatisticsA/B TestingLeadershipPublic Speaking
About the role
- About the job 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.
Responsibilities
- 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.
- Build predictive models integrating complex datasets and serve as the subject matter expert driving metrics development, modeling, and presenting to stakeholders.
Requirements
- 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 of experience with a Master's degree.
- Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).
Nice to have
- 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).
- Google Store is the first-party e-commerce site for Google's expanding portfolio of hardware products and associated services.
- 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.
Skills
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Compensation
- US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits
This listing is sourced directly from Google's careers page and normalized into a canonical job model.