Data Science Manager, Music Partnerships

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 Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users. We are looking for an outstanding manager to join the band and lead the data scientists who support our Music Partnerships teams, meaning the teams at Spotify who collaborate with record labels, music publishers, artists and songwriters.

What You'll Do:

• Manage and mentor a team of hard-working data scientists as part of the Content Analytics group
• Become the company’s central point of accountability for analysis, data tools and datasets related to Spotify’s partnerships with the music industry, acting as a trusted advisor to leadership
• Manage a roadmap of long term projects, such as identifying emerging artists at scale, or automatizing quarterly insights for Spotify’s music licensors
• Carefully craft presentations for senior management at top industry partners, covering their current performance and future opportunities on Spotify
• Advance the use of data science with Spotify’s music partnerships teams, including rolling out prediction models into business processes, and using AB-testing to influence Spotify’s product development
• Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling

Who you Are:

• You have experience managing a team of Data Scientists or Analysts
• Previous experience in the music industry is a strong plus for this role. Other media, entertainment, or technology experience is also valued on top of being passionate about music and popular culture in general
• You are an effective communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights.
• You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
• 5+ years of relevant experience analyzing complex data with SQL, Python, and/or R
• You have further technical expertise in data science:
• Experience building data visualizations and dashboards (e.g. Tableau or similar BI solution),
• Modeling and statistical knowledge is valued (e.g. forecasting, AB-testing, or feature engineering for machine learning)
• Experience architecting and scheduling datasets is valued.

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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This position is not eligible to be performed in Colorado.