The opportunity
The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior.
What you'll do
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
What they're looking for
- You have 4+ years of experience in a data science role and a degree in data: science, statistics, economics, mathematics, or a related quantitative field
- You have experience measuring customer outcomes, defining KPIs, and: connecting analytical insights to product decisions
- You know how to design and implement A/B tests, understand when: experimentation is the right tool, and interpret results with appropriate rigor
- You have experience evaluating machine learning model performance and: partnering with ML engineers to improve model and customer outcomes
- You are comfortable working in a highly technical environment and: collaborating closely with engineering partners
- You communicate complex statistical concepts clearly to both technical and non-technical audiences
- You have strong data science fundamentals, including Python, SQL, BigQuery,: dbt, data storytelling, and experience working within cross-functional product teams
- You have experience in areas such as advertising measurement, recommendation: systems, experimentation, or causal inference at scale
