The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
In the PSP Data Science team we work to understand how to improve the financial and creator benefit of our recommendations while ensuring end-user benefit. We are now looking for a Data Scientist with experience in experimentation, two-sided marketplaces, and causal inference methods to join our team. You are able to think critically about modeling choices and assumptions, and communicate that information in a clear and concise manner.
Above all, your work will impact the way the world experiences audio. Our organization strives to make every user session amazing through personalization and discovery.
What You'll Do
- Partner with Product Managers and Machine Learning Engineers to evaluate, develop, and above all, understand complex machine learning systems.
- Develop research questions and undertake data exploration to understand who our listeners are, how they get value out of Spotify, and how we can develop our product to bring greater value.
- Design, analyze, and interpret the results of experiments.
- Mentor and coach other data scientists.
Who You Are
- You are an excellent communicator and storyteller with data.
- You will have 5+ years of relevant experience, alternatively a PhD, with a degree in statistics, economics, mathematics or another quantitative discipline.
- Technical competence to perform advanced analytics: coding skills (such as R or Python) and experience performing analysis with large datasets.
- You have a deep understanding of experimentation methodologies used in online auction systems and of causal inference methods.
- You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
- You are a collaborative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
Where You'll Be
- This role will be based in our Stockholm office.
