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# Product Data Scientist, Education

- **Company:** Google LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $138,000.0 - $198,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, R (Programming Language), Python (Programming Language), SQL Databases, Large Language Models
- **Published:** July 11, 2026
- **Apply:** https://dejobs.org/x/x/93E1A7DC73A54415BBBCF3172DEF8F67/job/

## About the Role

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

 * 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree., * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

## Description

* 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.
 * 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.
 * Develop analysis, forecasting and human/auto evaluations to improve the quality of Google's AI/LLM products, such as Gemini/NotebookLM use-cases for teachers and students, and live experiments.
 * Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product/business questions.
 * Partner with product, engineering, UX and cross-functional teams to influence, prioritize and support product and business strategy. Deliver effective presentations of data-driven insights and recommendations to stakeholders.


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