Senior Data Scientist

What You'll Do

• Lead foundational measurement and insights work for generative music experiences, developing the frameworks that help Spotify understand how creators, listeners, and rights holders engage with generative AI music.
• Design and run large-scale analyses and evaluations of generative music systems, from prompt interpretation to model output quality, using Spotify's unique behavioral datasets, annotations, and experimentation platforms.
• Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops, debugging workflows, and product iteration, making sure scientific rigor informs technical direction.
• Identify the behavioral and market dynamics that shape sustainable consumer demand and creator participation, and translate them into clear strategic recommendations.
• Build practical, scalable metrics and decision systems that define what "good" looks like for AI music: credibility, user delight, safety, creator alignment, and ecosystem trust.
• Bring together model, user behavior, and ecosystem signals into clear narratives that shape product strategy, cross-functional alignment, and long-term priorities across Spotify.
• Create the datasets, dashboards, and long-term measurement systems that give Spotify a lasting, comprehensive understanding of product health and impact.
• Work closely with Product, Design, Research, Legal, Trust & Safety, Marketing, Policy, and Licensing teams, bringing statistical rigor and principled measurement to help build artist-first systems that scale responsibly.

Who You Are

• You have a track record of using insights to shape strategy for major company initiatives involving many different partners.
• You have significant hands-on experience in advanced analytics or data science, ideally in a domain involving LLM evaluation, user-generated content, or complex user behavior.
• You communicate clearly, form well-founded, evidence-backed points of view, and can bring together messy, multimodal signals (quantitative, qualitative, and model telemetry) into clear narratives for senior executives, researchers, engineers, and the music industry.
• You're proficient in advanced analytics with Python and SQL, have analyzed large datasets, and use AI tools (e.g. Cursor, Copilot) to increase your productivity and impact.
• You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities.
• You have experience with machine learning frameworks, designing and assessing multimodal or embedding-based models, and validating them against LLM judges or human ground truth, with an understanding of how to evaluate models beyond offline accuracy.
• You have a solid grounding in experimental design and causal inference, such as A/B tests, quasi-experiments, and power analysis.
• You thrive when tackling loosely defined problems in ambiguous, zero-to-one spaces.