Requirements
- You are experienced in analyzing complex datasets that combine user behavior with content and metadata signals
- You have developed metrics and reporting systems that support product or policy decision-making
- You have a strong foundation in statistics and experience designing evaluation approaches in environments where controlled experiments are not feasible
- You have built annotation-based measurement frameworks, including sampling strategies and baseline definitions
- You have designed or applied methods to measure the quality of LLM-generated annotations
- You are proficient in SQL and have experience using DBT, Python, or R to build and maintain reliable analytical datasets
- You communicate clearly and collaborate effectively with cross-functional teams
What the job involves
- As a Data Scientist II, you’ll work at the intersection of user behavior, metadata, and machine learning systems to improve how content is classified, evaluated, and understood across Spotify
- 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
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