Spotify's Personalization team aims to simplify and enhance the music and podcast listening experience for millions of users by making better recommendations. The Sessions Data Science team specifically supports product decision-making, metric development, and A/B testing for algorithmically-programmed playlists like Discover Weekly and AI DJ.
Requirements
- You are fluent in SQL and Python/R, and relevant statistical packages.
- You are experienced at working with large and complex data sets.
- You are an expert at data preparation and exploratory analysis.
- You have worked with data visualization tools such as Tableau and Looker Studio.
Responsibilities
- Use different analytical and statistical approaches to derive insights about personalized features and Spotify listeners.
- Design and interpret A/B tests that help answer questions about the impact of product changes.
- Define, track and operationalize metrics.
- Communicate complex technical findings to diverse stakeholders.
Other
- Partner with cross-functional teams to influence and support product development.
- Physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
- This role is based in our New York office.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
- The United States base range for this position is $ 89,083 - $ 127,262, plus equity.
