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, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 678 million users. We are looking for an extraordinary Data Scientist to join the band and build core analytics to support our Music Partnerships teams, meaning the teams at Spotify who interface with artists, artist managers, songwriters, record labels and music publishers.

What You'll Do

• Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on artist and release performances
• Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening
• Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling
• Craft high impact presentations for senior management on the Music Partnerships teams
• Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward
• Model statistical predictions to surface growing artists, genres and music trends, so as to inform resource allocation in and around Spotify’s Music organization

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 of relevant experience analyzing complex data with SQL, Python, and/or R
• You are passionate about music and popular culture in general. 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
• A curiosity for, and investigative approach towards the ways in which AI reshapes data science and analysis is also valued.
• Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus

Where You'll Be

• This role is based in New York, NY
• 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. We ask that you come in 3 times per week.