Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
We are looking for a Data Science Manager to join our Platform & Partner Experience insights team and help us drive an insights led culture within product development. In this role, you will be responsible for managing data scientists who deliver analysis to product areas to help craft growth strategies that are rooted in insights. Your role will cover planning and overseeing the data science contribution to your product area whilst working with user research counterparts to craft and maintain a holistic view on usage of Spotify. Furthermore, you will work to define and deliver an impactful quantitative insights roadmap for your team, making sure that insights contribute to long term business strategy.
As an Insights team, our mission is to enable evidence-based decision making in our organization. We achieve this by gaining a deep understanding of audio listeners through qualitative and quantitative research, AB tests, and selecting just the right metrics. We strive to impact the strategy and direction of Spotify’s consumer experience and to provide day to day guidance on product decisions, big and small. Our insights teams use mixed methods to study and understand user behaviour, evaluate potential product initiatives, guide plans and generate ideas. The goal is to advise every decision we make with relevant evidence, metrics, insights and data.
What you’ll do
Who you are
Where you’ll be
Spotify is a popular digital music streaming platform that was launched in 2008. It provides users with access to a vast library of music from various genres and artists around the world. Initially, Spotify started as a desktop application but has since expanded to include mobile and web-based versions as well. Key features of Spotify include: Music Catalog, Personalized Recommendations, Social Integration, Podcasts and Audio Content and Offline
London, UK
2-4 year
Stockholm, Sweden
2-4 year
Stockholm, Sweden
2-4 year
Boston, MA, USA
2-4 year
Boston, MA, USA
2-4 year
Boston, MA, USA
2-4 year
United States
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
London, UK
0-2 year