Senior Product Data Scientist, Growth & Retention

Google; Mountain View (CA); On-site; USD 192,000 - 279,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google Store is seeking a Staff Product Data Scientist for Pixel Growth in Mountain View, CA. You will own analytics, build models, and influence product decisions across growth and retention initiatives, combining ML, experimentation, and causal inference to drive meaningful outcomes.

You will work with the FIGS Data Science team, translate insights into scalable experiences and incentives, and collaborate with cross‑functional teams to deliver impact and growth for Pixel.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or 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).

Responsibilities

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide investigative thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
• Provide investigative thought leadership by developing the data science roadmap for Pixel Intelligence layer, focusing on reducing churn and optimizing our promotion strategy to deliver the right intervention to the right user at the right time.
• Synthesize insights from cross‑channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions.
• Define, measure, and report on KPIs such as Net LTV extension, ROI, and incrementality as part of regular business reviews.
• Build predictive models integrating complex datasets. Partner with cross‑functional teams to translate analytical recommendations into scalable, automated experiences and incentives.

Skills

Analytics problem solving

Decision making

Stakeholder influence

Domain expertise

Education

Bachelor's degree in quantitative field

Master's degree (preferred)

Tools

Python

R

SQL

Job description

Google Store is seeking a Staff Product Data Scientist for Pixel Growth in Mountain View, CA. You will own analytics, build models, and influence product decisions across growth and retention initiatives, combining ML, experimentation, and causal inference to drive meaningful outcomes.

You will work with the FIGS Data Science team, translate insights into scalable experiences and incentives, and collaborate with cross‑functional teams to deliver impact and growth for Pixel.