Spotify is a digital music service that gives you access to millions of songs. Backed by Accel, Kleiner Perkins and Norwest.
About the role
We're looking for a Senior Data Scientist to join the Artist-First AI Music lab. Our team explores and advances generative technologies for music to create new experiences for fans and artists, with a focus on listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You have a track record of using insights to shape strategy for major company initiatives involving many different partners
- You have significant hands-on experience in advanced analytics or data science, ideally in a domain involving LLM evaluation, user-generated content, or complex user behavior
- You're proficient in advanced analytics with Python and SQL, have analyzed large datasets, and use AI tools (e.g. Cursor, Copilot) to increase your productivity and impact
- You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities
- You have a solid grounding in experimental design and causal inference, such as A/B tests, quasi-experiments, and power analysis
- You thrive when tackling loosely defined problems in ambiguous, zero-to-one spaces
More about this role
The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
We're looking for a Senior Data Scientist to join the Artist-First AI Music lab. Our team explores and advances generative technologies for music to create new experiences for fans and artists, with a focus on listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: We will build products that create wholly new revenue streams for...
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