Staff Product Data Scientist, Pixel Growth, Google Store

Google; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google Store is hiring a Senior Data Scientist to drive measurement, modeling, and optimization for pricing, churn, and growth of Google's hardware offerings. You will lead analytics initiatives and partner with product, engineering, and marketing teams.

US compensation ranges from $192000 to $278000 plus 20% bonus target, equity, and benefits. The data science team focuses on experimentation, causal inference, and scalable analytics to guide business decisions.

Qualifications

• 10 years of analytics experience with coding (Python, R, SQL) or 8 years with a Master's degree.
• Experience with commercial metrics or business models (e-commerce, retail, subscriptions, promotions, or pricing).
• 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (Python, R, SQL).
• Experience building predictive models for customer lifetime value (LTV), pricing, or user churn.

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 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.

Skills

Analytical thinking

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Tools

Python

R

SQL

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.


• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .