Senior Data Scientist – Experimentation

This role sits within the central research team in our Product Insights group at Personalization responsible for developing our capabilities in measuring the performance and impact of our models and features, and developing foundational research knowledge, methods and tools.

Working with a team of data scientists, user researchers and data engineers you will make imaginative and creative contributions to our approaches in experimentation and attribution, introducing methods and setting the standards for our statistical work, supporting and developing a best-in-class approach.

What you’ll do:

  • Build lasting solutions to experimentation and attribution modeling

  • Commit to ensuring industry-leading best practices for experimental design and statistical analysis

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

  • Work from our offices in Boston or New York 

Who you are:

  • You will have at least 5 years experience in applied research and statistical modeling with a degree or higher (MS/PhD) in statistics, mathematics, econometrics, or similar field

  • Significant expertise in experimentation methodologies

  • Significant breadth and depth of statistics/ML knowledge

  • High level of ability in R or Python

  • Competence with SQL and experience performing analysis on large datasets

  • 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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