Data Scientist, Programming & Editorial

Spotify

London or Stockholm

We are looking for an outstanding Data Scientist to join the Content Analytics group and build core analytics to support our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences

What You’ll Do

Learn about music data, build relationships with music experts around the world, and over time, take on a variety of ad-hoc analyses. You’ll extract actionable insights from large datasets and drive decisions in the field of music recommendations
Improve on a suite of data tools primarily built for Spotify’s editorial teams, covering a range of angles into how listeners seek out music and engage with recommendations
Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling
Train editorial teams around the world on how to use data & insights. Own and improve on the documentation of data tools and training material
Engineer novel data sets that shed a new light on the dynamics of music listening

Who You Are

You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
2+ years of relevant experience performing data analysis or data science
You are entirely autonomous in SQL (a must)
Data visualization is one of the aspects of data science that you enjoy the most. You have a strong aptitude with business intelligence software such as Tableau and Google Data Studio. (a must)
Experience with Python is a strong plus
Experience creating and scheduling datasets is also highly valued
You are passionate about music. Previous experience in creative industries is a preference, but not a hard requirement if you have a deep empathy for how the music art form is created and enjoyed
You are a natural communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights

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