Spotify

Data Scientist - Content Understanding

Senior data scientist improving content classification and LLM evaluation systems at Spotify.

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 would 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 asked 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
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