Data Science Manager, Music Recommendations

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.
• 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.
• 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.
• Degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; 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.