Data Scientist (Content Understanding), London

Description

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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Highlights

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