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# Research Data Scientist, YouTube Music and Premium

- **Company:** LOON LLC
- **Location:** San Bruno, CA, United States
- **Experience:** Experienced
- **Salary:** $147,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Databases, Data Infrastructure, R (Programming Language), Python (Programming Language), SAP Plant Maintenance, SQL Databases
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ba070051e6ade4df

## About the Role

* Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
 * 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree., * 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 a PhD degree.
 * Ability to read and apply quantitative methodologies from books, papers, etc.
 * Ability to take open-ended problems, provide better definition and eventually solutions.
 * Ability to communicate well (and the so what) with data.

## Description

YouTube Data Science consists of a large analyst team that influences and informs YouTube's product and engineering leadership teams. We have a long history of working on projects that are at the heart of the business and have a seat at the table when it comes to the decisions that drive YouTube's continued success.

Within YouTube Data Science, the Music and Premium Data Science team is the home for all music products and podcasts at Google, along with efforts to grow the paid users (Premium, Nitrate, Commerce, and Growth). It is a critical area both for expanding Google's business through paid subscriptions growth, as well as showcasing innovation. This is the landing spot for GenAI audio and transforming the product using AI tools.

As a Data Scientist within the YouTube Premium team, you will work alongside premium and music Data Scientists, ProdOps, Finance, PM, Marketing, BD/partnerships, Engineering and UXR partners to uncover actionable data-driven insights that inform the product roadmaps and strategy, create models and define metrics for improved user experiences, and model growth dynamics in premium user base to support the M&P business., * Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

 * Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
 * Drive operational diagnoses in the premium business, such as reasons for changes in paid preserving, trial to paid conversion and the implications for various areas in the subs business (lifetime calue, acquisition and experiments etc.).
 * Adjust prices which require understanding of the impact on existing subs (churn). Involve in improving methods to estimate price elasticity and play a key role in the mission control team which coordinates price increases.