Senior Research Data Scientist, CoreX, YouTube

Senior Research Data Scientist, CoreX, You Tube

You Tube place San Bruno, CA, USA ;
Mountain View, CA, USA

• 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).

You Tube Data Science is all about making better data-driven decisions to improve You Tube. Within You Tube Data Science, CoreX Data Science supports the CoreX Engineering (Eng) and Program Managers (PM) teams improving core experiences on You Tube and focuses on the application of data science to improve the user experience with the view towards driving growth, engagement, and acquisition.

In this role, you will be understanding You Tube 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 support 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

• 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 understand the relationship between ads/business generation and organic engagement on You Tube.
• 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 elop 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 You Tube platform.

Google is a proud equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.