JobsStaff Product Data Scientist, Education
Google logo

Staff Product Data Scientist, Education

Google

Location

Mountain View, CA

Type

Full-time

Posted

7/11/2026

Compensation

$192,000 - $279,000 per year

Undergraduate with 5+ Years of Experience
Master's with 5+ Years of Experience
Approval 99%·Filings 5,616·New hires 2,898·
👑 Elite Sponsor
·FY 2025

Job description

The Staff Product Data Scientist role at Google focuses on leveraging data to enhance the success of Google for Education. The position involves deep analysis of business and product performance, as well as developing insights to inform strategic decisions. The candidate will work closely with cross-functional teams to influence product and business strategies, particularly as Generative AI integrates with educational products. This role requires a strong background in analytics and statistical analysis to drive product improvements.

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.
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field is preferred.
  • 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) is preferred.

Responsibilities

  • Define, own and evolve product/business success metrics.
  • Report, analyze and forecast trends of key product/business metrics and make recommendations to improve them.
  • Lead the design, analysis, and interpretation of product experiments.
  • Govern cross-product area resource allocation and technical rollout strategies by architecting rigorous predictive models and causal impact frameworks.
  • Perform data exploration to understand user behavior and identify opportunities for improving and growing Education products.
  • Identify critical business and product functionalities and assess their business impact.
  • Apply technical expertise with observational data analysis, modeling, and causal inference to answer important product/business questions.
  • Partner with Product, Engineering, UX and cross-functional teams to influence, prioritize and support product and business strategy.

Benefits

  • Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.

Is this posting expired or inaccurate?