We are looking for a Data Scientist to join the Content Platform Insights team. Content Platform is a central enabler for the Spotify business. We deliver a complete, available and enriched catalog of music, podcasts, videos and more. We provide the knowledge graph that accumulates differentiated understandings of creators, content, their attributes and their relationships. We ensure we can readily moderate and control the catalog to ensure a safe and trusted experience for consumers and to keep our platform free of infringement.

Locations

London
Stockholm

Job type

Permanent

The successful candidate will join The Cherry PI squad, which focuses on understanding the composition, growth, cost and value of our music, podcast and audiobook catalogues. We partner with the engineering teams who build, maintain and extend those catalogues to explore opportunities and risks, assess performance and set goals.

Recent and current project work by our squad has included Quantifying undesired licensor behaviour in the music catalogue, Finding podcasts with little or no value to Spotify for possible deletion, and Modeling which of our tracks are ‘background music’ or designed for children.

A key focus for the squad, and this position in 2025 will be making maximal catalogues economically viable.

Data Science work in Content Platform more broadly is characterised by a heavy focus on exploratory work in a high-ambiguity environment, an intimate knowledge of our music, podcast and audiobook catalogues, a moderate quantity of modeling work and relatively little experimentation.

What You'll Do

Estimate the value of individual pieces of content to find their ‘break even’ point.
Estimate the total cost to Spotify of ingesting, modeling and moderating a piece of content.
Apply modeling techniques and investigative work to identify content which does not.
Significantly improve our catalogues, in an environment where some licensors wish to evade detection.
Equip partner teams to deal with the growing tide of low value content with improved recommendations filtering, cost reduction efforts and changing licensor incentives.

Who You Are

Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
Coding skills (such as Python, R or similar) and a working knowledge of SQL.
Experience with data visualisation tools (such as Tableau, Looker, Qlik Sense, matplotlib, ggplot2 or similar).
Ambitious person who’s capable of tackling loosely defined problems and driving strategic impact.
Ability to explain complex topics in simple terms, for audiences with different levels of technical knowledge.

Where You'll Be

This role is based in Stockholm or London.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.

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Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

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.

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 with a community of more than 500 million users.

Learn more about our culture