Job Post

Senior Data Scientist - Metrics

Spotify
48 Grove Street
Somerville, MA 02144

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual person and keep the world listening.

Everyday, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as "Discover Weekly" and Daily Mix. We're a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.

We are looking for Senior Data Scientist to join our central research team at Product Insights in our Personalization organization. This team is responsible for developing our capabilities in measuring the performance and impact of our models and features, and developing foundational research knowledge, methods and tools.

What youll do:

  • Work closely with the team to build lasting solutions to experimentation and attribution modeling

  • Contribute to the development of the Product Insights function and the wider analytics community at Spotify

  • Mentor and coach other data scientists

  • Work from our offices in New York or Boston

Who you are:

  • You will have at least 5 years relevant applied experience with a degree or higher (MS/PhD) in economics, psychology, computer science, statistics, or mathematics or another quantitative discipline

  • Technical competence to perform advanced analytics: coding skills (such as R, Python, or Scala), experience with analytics & visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets

  • You have strong statistical understanding of online testing methodologies and metric development

  • You are capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences

  • You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

Category: Data Science / Machine Learning
Full-time

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