Senior Data Scientist – Metrics

In Personalization we are the people that match music with fans at the right time to create great listening experiences.

You will be a key member of our central product insights team at Personalization working with a team of data scientists, user researchers and data engineers to make imaginative and creative contributions to our approaches in experimentation and attribution.

What you’ll 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.

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