June 2026 archive · For research and skill exploration. Current job availability is unverified.
Spotify
Data Scientist - Content Understanding
Senior data scientist improving content classification and LLM evaluation systems at Spotify.
SpotifyText summary from the June 2026 archive. original source →
The role
This role sits within Spotify's Content Platform team, responsible for ensuring music, podcasts, and audiobooks are properly ingested, structured, and delivered at scale. As a Data Scientist II, you'll apply machine learning and statistical methods to understand how content is classified, evaluated, and personalized for millions of users globally.
What you'd do
- Examine user behavior and catalog patterns to inform product strategy decisions
- Refine content classification systems and taxonomy structures for improved organization
- Build evaluation frameworks for annotation processes, including sampling design and LLM quality assessment
- Create metrics, dashboards, and SQL tools enabling cross-functional decision-making
- Enhance data quality and transformation pipelines using SQL and DBT for consistent reporting
What they're looking for
- Demonstrated experience analyzing datasets combining user behavior with content metadata
- Track record building metrics and reporting systems supporting product decisions
- Strong statistical foundation with ability to design evaluation approaches without controlled experiments
- Experience developing annotation frameworks with sampling and baseline strategies
- Proficiency measuring quality of language model-generated annotations
- Advanced SQL skills and experience with DBT, Python, or R for dataset maintenance
- Clear communication and effective cross-functional collaboration abilities
Summary written by RoleDeck from the original posting. This is an extracted, own-words summary and may contain errors. The original source may have changed or expired.