The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend 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. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
The Sessions Studio in PZN owns all of Spotify’s algorithmically-programmed playlists. From Discover Weekly to Radio to Daily Mix to the AI DJ, we are building many of Spotify’s flagship music-listening experiences which are used by hundreds of millions of people every day.
We are looking for a Junior Data Scientist to join the Sessions Data Science team, who will support product decision making, goal setting, metric development, A/B testing, and analytics.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend 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. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.The Sessions Studio in PZN owns all of Spotify’s algorithmically-programmed playlists. From Discover Weekly to Radio to Daily Mix to the AI DJ, we are building many of Spotify’s flagship music-listening experiences which are used by hundreds of millions of people every day.We are looking for a Junior Data Scientist to join the Sessions Data Science team, who will support product decision making, goal setting, metric development, A/B testing, and analytics.
What You'll Do
Use different analytical and statistical approaches to derive insights about personalized features and Spotify listeners.
Design and interpret A/B tests that help answer questions about the impact of product changes.
Partner with cross-functional teams to influence and support product development.
Define, track and operationalize metrics.
Communicate complex technical findings to diverse stakeholders.
Who You Are
You are fluent in SQL and Python/R, and relevant statistical packages.
You are experienced at working with large and complex data sets.
You are an expert at data preparation and exploratory analysis.
You have worked with data visualization tools such as Tableau and Looker Studio.
Where You'll Be
This role is based in our London or Stockholm office.
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.
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.
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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