Data Scientist - Music Analytics

New York, NY

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Spotify

Spotify’s 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 opportunity to enjoy and be inspired by 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. We are looking for an outstanding Data Scientist to join the band and build core analytics to support our Music organization. The Music organization is responsible for editorial music recommendations, programming of music content on Spotify, relationships with the music industry, and artist marketing.

What You'll Do:

  • Perform analyses on large sets of data to extract impactful insights that will drive decisions, with a particular focus on music recommendations and music industry partnerships.
  • Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening.
  • Craft high impact presentations for senior management at Spotify and at top music industry partners.
  • Evaluate Spotify’s ecosystem of music recommendations and build compelling data visualization tools to move it forward.
  • Analyze A/B tests and form hypotheses for product improvements in how content reaches listeners.
  • Model statistical predictions to surface growing artists, genres and music trends, so as to inform prioritization in and around Spotify’s Music organization.
  • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling.

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 (5+ years for senior role) of relevant experience analyzing sophisticated data with SQL, Python, and/or R.
  • You are passionate about music and popular culture. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued.
  • 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.
  • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution).
  • Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus.
  • Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus.

Where You'll Be:

  • We are a distributed workforce enabling our band members to find a work mode best for them!
  • Where in the world? For this role, it can be within the Americas 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

  • #remote 
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.
Job region(s): North America
Job stats:  43  11  0

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