Data Scientist; Content Understanding

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

• 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