
Data Scientist – Subscriptions
Spotify
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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About the role
- Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement.
- Design and analyze experiments to understand the impact of new features and product changes.
- Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.
- Define and track meaningful metrics that reflect the health and value of the Premium experience.
- Develop dashboards and tools that help teams monitor performance and make informed decisions.
- Investigate user behavior trends and bring forward insights that shape product direction.
- Partner closely with cross-functional teams to align on goals and translate data into action.
- Communicate insights clearly to a wide range of audiences, including senior stakeholders.
- Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers.
Requirements
- 4+ years of experience in data science or analytics, working with product or business teams.
- Strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience.
- Confidence working with large datasets and strong skills in SQL and Python.
- Experience designing and analyzing experiments and understanding how to measure impact with rigor.
- Comfortable owning projects end-to-end, from framing the problem to delivering actionable insights.
- Experience applying AI or automation in analytics workflows by integrating LLM’s to streamline multi-step analyses.
- Ability to communicate complex ideas in a clear, structured and engaging way.
- Curiosity, proactivity, and comfort working in a fast-moving environment with some ambiguity.
- Enjoy collaborating across teams and building strong working relationships.
- Experience in consumer products, subscriptions, or monetization-focused environments.
Benefits
- Spotify is an equal opportunity employer
- Passionate about inclusivity
- Support for reasonable accommodations
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceanalyticsstatisticseconomicsmathematicscomputer scienceSQLPythonAIautomation
Soft Skills
communicationcuriosityproactivitycollaborationproblem framinginsight deliveryrelationship buildingadaptabilityteamworkengagement