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Staff Product Data Scientist, Pixel Growth, Google Store
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$192k–$279k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Benefits
Posted 20d ago
~40 hrs/week
Responsibilities
Lead the data science roadmap to drive business decisions through measurement, modeling, and causal inference for the Google Store. Develop predictive models and synthesize insights from cross-channel experimentation to improve product performance and pricing strategies.
Requirements
Requires a Bachelor's degree in a quantitative field and 10+ years of experience in analytics and coding, or 8+ years with a Master's degree. Experience with commercial business models such as e-commerce, retail, or pricing is essential.
Full job description
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 of experience with a Master's degree.
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.
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. 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.
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.
Related keywords
StatisticsMathematicsData ScienceEngineeringPhysicsEconomicsPythonRSQLE-commerceRetailSubscriptionsPromotionsPricingPredictive ModelsCustomer Lifetime Value
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
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