Data Science Manager, Music Recommendations

Spotify•New York, NY

4d•Hybrid

About The Position

Spotify is seeking an extraordinary Data Science Manager to join their Content Insights group. This role will build the next frontier of analytics to support strategic decision-making for Spotify's Music Editorial teams, who are responsible for curating playlists and musical experiences. The manager will act as a key partner to leaders in Spotify's Music Vertical, focusing on the global Editorial function and music content recommendations. They will also conduct research, craft compelling data storytelling to influence large investments in music recommendations, and orient innovation at the intersection of human editorial and algorithmic recommendations in the age of AI. Additionally, the role involves upskilling the data science function with agentic AI and developing self-serve access to insights for stakeholders, becoming a company-wide expert on music content and its reach to listeners.

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.
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.
A degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics.

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.
Advanced degree is desirable.
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.

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.
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.