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Data Scientist - Audiobook Content Analytics

AT Spotify
Spotify

Data Scientist - Audiobook Content Analytics

London, United Kingdom

Everything we do is driven by our love for music, podcasts & books. Today, we are the world's most popular audio streaming subscription service with a community of more than 615 million users. We are looking for an outstanding Data Scientist to join the band and our Content Analytics team to drive insights and learning around our growing Audiobooks format.

What You'll Do

  • Perform analyses on large sets of data to extract actionable insights that will drive decisions for our audiobook partner teams across Licensing, Growth, and Editorial
  • Develop new, localized reporting layers for regional audiobook teams
  • Engineer novel data sets, features, and reports that shed a new light on the dynamics of how users engage with audiobooks and capture emerging content trends in markets
  • Craft high impact presentations and communicate data-driven insights and recommendations to various audiences, through clear visualizations and data storytelling
  • Partner with other data scientists and non-technical collaborators alike to develop and expand learning agendas for new regions

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Who You Are

  • 3+ years of proven experience analyzing complex data with SQL, Python, and/or R
  • You have a degree or equivalent experience in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics
  • Previous experience with book publishing industry and/or consumer-facing digital apps preferred; other media, entertainment, or technology experience is also highly valued
  • You are curious and not afraid of exploring new domains; you enjoy partnering with others to define and develop new opportunities
  • 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 a plus

Where You'll Be

  • This role will be based in London.

Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

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 500 million users.

Client-provided location(s): London, UK; Berlin, Germany
Job ID: Spotify-199c6ef0-5e93-47be-b0f1-0219cd99b978
Employment Type: Other