Data Scientist

Time zone
Data Science
Full Time
Opening date
Closing date
5 Oct 2021

At Spotify, we’re focused on providing the right music for every moment. We’ve connected millions of people to their favorite songs and created a service that people use to discover and share music they love. The fast-moving, high-impact User Growth team at Spotify is responsible for converting new & free Spotify users to our paid tier, Spotify Premium, which provides the world’s best music experience on all platforms.

We’re looking for a Data Scientist to join the team and help us to bring our conversion optimization strategy to the next level. You will be working both with setting up current optimization initiatives and more forward-looking conversion strategies and hypothesis development. Reporting into the lead of conversion optimization, you will be part of the conversion optimization team whose main goal is to bring in more subscriptions, decrease churn and improve lifetime value.

Join the world’s fastest-growing online subscription business in a high-impact role where you will put a personal mark on the success of Spotify by delivering even faster subscriber growth.

What You’ll Do

  • Perform and present analyses on large sets of data to extract important insights that will help drive product and business decision
  • Collaborate across the organization and contribute to the wider data science practice.
  • Team responsibilities include recommendations to key partners.
  • Work closely with multi-functional teams
  • Mentor and coach other team members.

Who You Are

  • You have the technical competence to perform advanced analytics: coding skills (such as Python, Java, or Scala), experience with analytics & visualization tools (Pandas, R, SPSS, SQL, Hadoop, Tableau), and experience performing analysis with large datasets.
  • Enjoy understanding and taking on loosely defined problems and come up with relevant answers and impactful insights to guide product development decisions.
  • Demonstrate a deep understanding of numbers, as well as a strong business acumen and ability to work with other disciplines.
  • You possess strong statistical competence (such as regression modeling, a/b testing, significance testing etc) as well as skills in forecasting and time series.
  • You have worked in an analytics role within a business or monetization focus

Where You’ll Be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the EMEA region in which we have a work location
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
  • Working hours? We operate within the Eastern Standard time zone for collaboration

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.

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 345 million users.

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