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 700 million users. We are looking for an extraordinary Data Science Manager to join our Content Insights group and build the next frontier of analytics to support the strategic decision making for our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences.

What You'll Do

Act as a key partner to leaders in Spotify’s Music Vertical, with a focus on the Editorial function globally and recommendations of music content.

Manage a strong team of data scientists, aligning their expertise and professional growth with business needs via ongoing coaching and roadmap planning.

Conduct research yourself and craft compelling data storytelling to influence large investments at Spotify in the field of music recommendations

In particular, orient innovation at the intersection of human editorial and algorithmic recommendations in the age of AI.

Upskill the data science function in your area with agentic AI, and develop the next layer of self-serve access to insights for your stakeholders

Become a company-wide expert on music content and how it reaches listeners around the world.

Who You Are

7+ years of relevant experience performing data analysis or data science. In particular…

You are highly proficient in Python and SQL

You are well versed in AI tools for data science and insights, such as Claude Code

You have an expertise in building data visualizations and dashboards (e.g. Looker Studio, Tableau or other)

You have experience with A/B testing and statistical modeling

Experience managing a team is preferred. The role is opened to first time managers who have a proven experience mentoring others, leading large collaborative projects and coordinating with senior leaders.

You are a confident communicator with acute design thinking, who can simplifie complex problems and ground creative discussions in objective data. You have experience presenting to and influencing senior leadership.

You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is désirable

You are passionate about music. Previous experience in creative industries is a preference, but not a hard requirement if you have a deep empathy for how the music art form is created and enjoyed

Where You'll Be

This role is based in New York, New York

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 2-3 times per week

The United States base range for this position is $144,715 - $206,735, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

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.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Data Science Manager, Music Recommendations