Senior Data Scientist, Artist-First AI Music Lab
New
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SpotifyAI music
Listing location: New York, NY / Boston, MA / Washington D.C.; Workplace type: Remote, This team operates within the US Eastern timezone for collaborationFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMachine LearningData science
Requirements
- Have a track record of using insights to shape strategy for major company initiatives involving many partners.
- Have significant hands-on experience in advanced analytics or data science, ideally involving LLM evaluation, user-generated content, or complex user behavior.
- Be proficient in advanced analytics with Python and SQL, and have analyzed large datasets.
- Have experience developing metrics frameworks for complex products.
- Have experience with machine learning frameworks and designing and assessing multimodal or embedding-based models.
- Have experience validating models against LLM judges or human ground truth and evaluating models beyond offline accuracy.
- Have a solid grounding in experimental design and causal inference, such as A/B tests, quasi-experiments, and power analysis.
- Be able to communicate evidence-backed points of view and bring quantitative, qualitative, and model telemetry signals into clear narratives.
- Use AI tools such as Cursor or Copilot to increase productivity and impact.
Responsibilities
- Lead foundational measurement and insights work for generative music experiences.
- Design and run large-scale analyses and evaluations of generative music systems, from prompt interpretation to model output quality.
- Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops, debugging workflows, and product iteration.
- Identify behavioral and market dynamics that shape consumer demand and creator participation, and translate them into strategic recommendations.
- Build scalable metrics and decision systems for evaluating AI music, including credibility, user delight, safety, creator alignment, and ecosystem trust.
- Bring model, user behavior, and ecosystem signals together into narratives that shape product strategy and long-term priorities.
- Create datasets, dashboards, and long-term measurement systems for understanding product health and impact.
- Work with Product, Design, Research, Legal, Trust & Safety, Marketing, Policy, and Licensing teams.
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