Data Scientist - Music Mission

About the role

The Music Mission team develops promotional tools for artists and labels to grow and monetize their fan bases on Spotify. As a Data Scientist within the Discovery Mode ML squad, you will serve as the analytical lead to evaluate and improve the models powering personalized recommendations. You will design experiments, build evaluation frameworks, and partner with product managers and engineers to ensure model accuracy and impact.

Responsibilities

• Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
• Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
• Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
• Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
• Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
• Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
• Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode

Required skills

• Python
• SQL
• BigQuery
• dbt
• Data storytelling
• A/B testing
• Machine learning evaluation
• Causal inference
• Recommendation systems

Qualifications

• Degree in data science, statistics, economics, mathematics, or a related quantitative field

Benefits

• Health insurance
• Six-month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• Paid flexible holidays
• Paid sick leave

About the Company

Spotify is a platform for everyone, dedicated to revolutionizing the way the world listens through a diverse and inclusive workplace.