Data Scientist - Discovery Mode
Develop analytical frameworks to evaluate and improve music recommendation models
Collaborate with product managers and ML engineers to design experiments, build evaluation frameworks, and analyze data for Discovery Mode, Spotify's artist promotion tool. Lead analytics for the ML squad, ensuring the accuracy and reliability of models that drive personalized music recommendations and support artist growth.
Why This Role?
Shape the measurement systems behind a key Spotify promotion product
Key Responsibilities
- Design experiments to assess Discovery Mode's recommendation models
- Develop and refine analytical frameworks for model evaluation
- Partner with product managers and ML engineers to improve model performance
- Build analytical foundations to ensure model accuracy and reliability
Requirements
- Experience with data analysis and experiment design
- Ability to develop evaluation frameworks for machine learning models
- Strong collaboration skills with product and engineering teams
Required Skills
Keywords
View Original Description from Lever Postings
Original description from Lever Postings
The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify. We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.
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