Data Scientist – Content Understanding
Spotify
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- Analyze user behavior, content trends, and catalog data to generate insights that shape product decisions
- Analyze and refine content classification and taxonomy systems to improve how content is grouped
- Develop annotation-based evaluation frameworks, including sampling design and baseline definition, and assess the performance of LLMs used in annotation workflows
- Develop and maintain metrics, dashboards, and text-to-SQL environments that support decision-making
- Improve dataset quality and data transformations using SQL and DBT to ensure reliable reporting across content and behavioral domains
Requirements
- Experienced in analyzing complex datasets that combine user behavior with content and metadata signals
- Developed metrics and reporting systems that support product or policy decision-making
- Strong foundation in statistics and experience designing evaluation approaches in environments where controlled experiments are not feasible
- Built annotation-based measurement frameworks, including sampling strategies and baseline definitions
- Designed or applied methods to measure the quality of LLM-generated annotations
- Proficient in SQL and have experience using DBT, Python, or R to build and maintain reliable analytical datasets
- Communicate clearly and collaborate effectively with cross-functional teams
Benefits
- Spotify is an equal opportunity employer
- Accessible recruitment process with reasonable accommodations
- Flexibility to work where you work best
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysiscontent classificationtaxonomy systemsannotation-based evaluation frameworksmetrics developmenttext-to-SQLdataset quality improvementdata transformationsstatisticssampling strategies
Soft Skills
communicationcollaborationcross-functional teamwork