Senior Data Scientist - Music Mission

Spotify•New York, NY

14h•Hybrid

About The Position

We’re looking for a Senior Data Scientist to join the Music Mission, the team that owns Spotify’s end-to-end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale. You’ll join the MusicX product area supporting one of our top company bets. This highly cross-functional role partners closely with Spotify for Artists, Personalization, Core Experience, and Rights teams. You’ll work on user-facing product experiences and backend systems that have executive-level visibility and impact.

Requirements

You have 7+ years of experience working as a data scientist.
You have a degree in Mathematics, Statistics, Physics, or a related field (or equivalent experience).
You are fluent in python and SQL and are regularly use AI-powered tools (e.g. Cursor, Claude) to accelerate analysis and workflows.
You have a strong foundation in experimentation, causal inference, and exploratory data analysis, and know how to apply them to real product decisions.
You’re comfortable owning problems end-to-end, from framing ambiguous questions to delivering actionable recommendations that shape product direction.
You’re experienced applying machine learning or statistical modeling to content understanding, classification, or ranking problems.
You’ve partnered cross-functionally with senior stakeholders, influencing both strategic priorities and technical approaches.
You’re a clear and compelling communicator, able to translate complex analysis into narratives that resonate with non-technical audiences.
You thrive in high-visibility environments, working closely with leadership to define success and drive measurable outcomes.
You bring deep curiosity about how artists create and express themselves on Spotify — and how data can amplify their impact at scale.

Responsibilities

Drive the data science roadmap for music video supply, identifying product levers to accelerate artist uploads and measuring their broader ecosystem impact.
Lead analytical projects with high autonomy, from hypothesis generation and experimental design to delivering strategic recommendations to senior leadership.
Architect and own success metrics that balance creator value, listener engagement, and business health.
Lead the development of data modeling and inference frameworks to enable accurate content attribution and scalable rights management.
Conduct exploratory analyses to identify engagement drivers to drive product prioritization for specific content types and artist segments.
Collaborate with ML and Engineering to develop systems for content classification, tagging, and distribution across Spotify surfaces.
Partner with Licensing, Marketing, and Product to guide feature launches with behavioral and content insights.
Synthesize complex technical findings into actionable narratives that influence the organization’s strategy and drive executive alignment.