June 2026 archive · For research and skill exploration. Current job availability is unverified.
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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.