We are seeking a Data Scientist to join Spotify’s Artist-First AI Music Lab.
Our team pioneers state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new products that center and celebrate artists and creatives—putting artists and songwriters first through principles of choice, transparency, fair compensation, and deepened artist–fan connection.
As a Data Scientist on this team, you’ll help bridge cutting edge AI research with outstanding product experiences. Your work will ensure that every feature we launch is grounded in data-driven insight and meaningfully strengthens the connection between more than 700 million listeners and the creators they love.
For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/
What You'll Do
Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadershipDevelop and own success metrics for generative music features and systemsDesign and analyze A/B tests and causal studies to evaluate product and model impactPerform exploratory analyses to uncover opportunities that improve experiences for listeners and artistsBuild scalable dashboards to monitor feature health and ecosystem impactDesign and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and qualityCollaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirementsPartner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflowsCommunicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisionsWho You Are
You have a degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field (or equivalent experience)You bring 4+ years of experience as a Data Scientist influencing product decisions through dataYou’re highly proficient in SQL and Python and comfortable working with large-scale datasetsYou use AI-powered tools (e.g., Cursor, Copilot) to accelerate analysis and workflowsYou have strong product intuition and a results-focused perspective— you seek the “why” behind the dataYou have experience with A/B testing, causal inference and advanced statistical methods, and exercise strong judgment in methodological choicesYou understand machine learning systems and can evaluate models beyond offline metrics, applying human judgment to quality and impactYou thrive in ambiguous, zero-to-one environments and enjoy defining metrics & opportunities for entirely new product categoriesYou’re motivated by creating real value for music fans and music creatorsWhere You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration