Staff Product Data Scientist, Pixel Growth, Google Store

Mountain View, CAOnsiteFull TimeStaff$192,000–$278,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

SQL
Python
statistical analysis
commercial metrics
business models
e-commerce
retail
subscriptions
promotions
pricing

Nice to have

predictive models
user churn
app growth
traffic redirects
engagement
conversion funnel optimizations

Role summary

Google Store is seeking a Staff Product Data Scientist to drive business and product decisions for its e-commerce platform. This role involves leveraging data science techniques such as measurement, experimentation, modeling, causal inference, and optimization to enhance the performance of Google's hardware products and services. The data scientist will develop the data science roadmap, provide technical leadership, and translate complex data insights into actionable product improvements and business strategies. The position requires extensive experience in analytics, statistical analysis, and coding, with a focus on commercial metrics and predictive modeling within an e-commerce context.

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.
Experience with driving app growth through traffic redirects, engagement, conversion funnel optimizations, and notifications.

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.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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.
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.

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