Data Scientist - Music Mission

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 Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode Who You Are 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 Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.