Data Scientist - Discovery Mode

Spotify•New York, NY

22h•Remote

About The Position

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. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify. We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

Requirements

4+ years of experience in a data science role
A degree in data science, statistics, economics, mathematics, or a related quantitative field
Experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
Experience designing and implementing A/B tests, understanding when experimentation is the right tool, and interpreting results with appropriate rigor
Experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
Comfortable working in a highly technical environment and collaborating closely with engineering partners
Communicate complex statistical concepts clearly to both technical and non-technical audiences
Strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
Experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale

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