Senior Music Data Scientist

Google is seeking a Senior Music Data Scientist to join their YouTube Business Go-To-Market Music & MediaCo Analytics team. This role sits at the intersection of data science and music business, focusing on driving strategic insights for YouTube's music initiatives.

The position requires a deep understanding of advanced statistical methods including causal inference, econometrics, and machine learning, combined with strong business acumen. You'll be working with cross-functional teams across YouTube Product and Ads to analyze music trends and their business impact.

The role offers a competitive compensation package ranging from $166,000 to $244,000 plus bonus, equity, and comprehensive benefits. Located in either San Bruno, CA or New York, NY, you'll be part of Google's larger mission while specifically focusing on YouTube's music ecosystem.

Key responsibilities include designing and leading causal studies, analyzing music earnings trends, and presenting actionable insights to executive leadership. You'll need to effectively communicate complex technical findings to both technical and non-technical stakeholders.

The ideal candidate will have a Master's degree in a quantitative field and 4+ years of experience in statistical specialties. Experience in digital advertising is preferred, along with exceptional communication skills. You'll be joining a team that shapes Go-To-Market priorities and drives business growth through data-driven decision making.

This role offers the opportunity to impact YouTube's music business strategy while working with cutting-edge data science tools and methodologies. You'll be part of Google's inclusive culture that values diversity and innovation, with access to world-class resources and the chance to work on problems at a global scale.

The position combines technical expertise with business strategy, making it ideal for data scientists who want to influence product and business decisions in the music streaming industry. You'll have the opportunity to work with large-scale data sets and apply advanced analytical techniques to solve real-world business challenges.