About this role

Google is hiring a senior-level Data Scientist based in San Bruno, CA | Mountain View, CA. The posting calls out experience with Python, R, SQL, Data Structures and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $174,000–$253,000 per year.

Role: Data Scientist
Function: data engineering
Level: senior
Track: Individual contributor
Employment: Full-time
Location: San Bruno, CA | Mountain View, CA
Experience: 5+ years
Education: Master's degree
Posted: Jul 13, 2026

AI Summary

Senior Data Scientist analyzing YouTube user behavior and engagement patterns to drive growth and improve user experience. Requires master's degree in quantitative field, 5+ years analytics/coding experience (Python, R, SQL), and strong statistical analysis skills. Focus on data-driven decision-making for product improvements and business metrics.

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Job description

from Google careers

YouTube Data Science is all about making better data-driven decisions to improve YouTube. Within YouTube Data Science, CoreX Data Science supports the CoreX Engineering (Eng) and Program Managers (PM) teams improving core experiences on YouTube and focuses on the application of data science to improve the user experience with the view towards driving growth, engagement, and acquisition. YouTube (YT) is a product that almost everyone uses, but some are yet to find their corner of YT that speaks to them.

In this role, you will be understanding YouTube users at a deeper level with a view towards responsibly improving engagement and business generation opportunities, especially for specific cohorts of users who have the strongest headroom for growth. You will supports improving growth via better interventions for strategic user segments, notifications, new user onboarding, UI changes to drive user engagement and growth, forecasting and better management of ad load to improve engagement.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

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.

Minimum qualifications:

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.