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# Senior Research Data Scientist, CoreX, YouTube

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $174,000.0 - $253,000.0
- **Contract:** Permanent contract
- **Skills:** Databases, Data Structures, R (Programming Language), Python (Programming Language), SQL Databases, Data Analytics
- **Published:** July 15, 2026
- **Apply:** https://dejobs.org/x/x/CAF596A6B77B4822B2DBBDEAE3DD929F/job/

## About the Role

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

 * 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
 * 5 years of experience using Python for statistical programming., * 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

## Description

* Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
 * Build new processes, procedures, methods, tests, and components to understanding the relationship between ads/business generation and organic engagement on YouTube.
 * Report on key performance indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
 * Build and prototype analysis and business cases iteratively to provide insights at scale. Develop knowledge of Google data structures and metrics, advocating for changes where needed for product development.
 * Define and oversee key concepts such as ad load, sensitivity, relevance and user impact, and analyze how this relates to usage patterns across the YouTube platform.


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