London / Stockholm Hybrid Employment

Spotify is hiring a Data Scientist, Subscriptions

Responsibilities

  • 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

Requirements

  • You have 3+ years of experience in data science or analytics, ideally at a consumer tech or subscription-based company
  • You hold a degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (or equivalent experience)
  • You are proficient in SQL and Python and comfortable working with large-scale datasets
  • You have experience designing and analyzing A/B tests, with a solid understanding of statistical methods
  • You are a clear communicator who can translate complex analyses into actionable recommendations
  • You are curious, proactive, and comfortable navigating ambiguity in a fast-moving business
  • You enjoy collaborating across teams and are comfortable working in environments that require coordination across multiple stakeholders and workstreams

Work Arrangement

Hybrid

Team

Structure: 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.

Additional Information

  • There will be some in person meetings, but still allows for flexibility to work from home.
  • Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
  • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Required Skills
data science or analyticsideally at a consumer tech or subscriptiSQLPythoncomfortable working w data science or analyticsideally at a consumer tech or subscriptiSQLPythoncomfortable working w
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About company
Spotify
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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Job Details
Department Portfolio Data Science
Category data
Posted a month ago