Data Scientist, Subscriptions
Location
New York, NY
Salary
Not specified
Type
Full-time
Posted
3 days ago
Job Description
The Subscriptions Mission drives the growth and evolution of the Spotify business, ensuring we deliver compelling value to hundreds of millions of subscribers worldwide. We are focused on building the right set of offerings, plans, and value propositions that attract new subscribers and deepen engagement with existing ones.
You'll join the Portfolio Data Science team, part of Subscriptions Product Insights. The Portfolio Focus Area is responsible for evolving and adapting Spotify's existing subscription plans to drive subscriber growth and engagement, as well as creating new revenue streams through add-ons and new value propositions. This work requires coordination across the entire Subscriptions Mission and multiple focus areas, with ownership and oversight from the Portfolio leadership team.
As a Data Scientist on this team, you'll help the Portfolio team make informed decisions about how to grow and diversify Spotify's paid offerings. You'll analyze subscriber behavior, measure the impact of plan changes and new propositions, and surface insights that shape our strategy. Your work will directly influence how the Spotify experience evolves for users around the world.
What You'll Do
- Analyze subscriber behavior and engagement patterns to identify opportunities for plan evolution and new value propositions
- Design and analyze experiments to measure the impact of changes to subscription plans and add-on offerings
- Define and maintain success metrics for Portfolio initiatives, ensuring alignment across cross-functional partners
- Build and maintain dashboards and reporting to monitor the health and performance of subscription plans and new revenue streams
- Perform exploratory analyses that uncover growth levers and inform the Portfolio roadmap
- Collaborate with Product, Engineering, Design, User Research and other Data Science teams across the Subscriptions Mission
- Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership
- Use AI-powered tools (e.g., Claude Code, Codex) to accelerate analysis and workflows
Who You Are
Where You'll Be
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