Data Science Manager, Music Recommendations

Spotify•New York, NY

1d•Hybrid

About The Position

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.

Requirements

7+ years of relevant experience performing data analysis or data science.
Highly proficient in Python and SQL.
Well versed in AI tools for data science and insights, such as Claude Code.
Expertise in building data visualizations and dashboards (e.g. Looker Studio, Tableau or other).
Experience with A/B testing and statistical modeling.
A degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics.
Passionate about music.

Nice To Haves

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.
Confident communicator with acute design thinking, who can simplify complex problems and ground creative discussions in objective data.
Experience presenting to and influencing senior leadership.
Advanced degree is desirable.
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.

Responsibilities

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.