Senior Data Scientist, YouTube Premium

Google • San Bruno, CA

352d • $150,000 - $223,000

About The Position

In this role, you will work with premium and music Data Scientists, Product Operations (ProdOps), Finance, Product Manager, Marketing, Business Development, Engineering and User Experience Researcher partners to uncover data-motivated insights that inform our product roadmaps and strategy, create models and define metrics for improved user experiences. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

Requirements

• 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.

Nice To Haves

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Experience with Forecasting, Financial Forecasting, or Time Series Regression.

Responsibilities

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
• Provide feedback to translate business questions into analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using knowledge.
• Design and evaluate models to mathematically express and solve problems with precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Format, re-structure or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Benefits

• Base salary range of $150,000-$223,000 + bonus + equity + benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Web Search Portals, Libraries, Archives, and Other Information Services
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees