Job Description

We are looking for a Data Scientist to join the band and help drive a data-first culture with a focus on growth. As a Data Scientist, our mission is to turn our 200 petabytes of data into insights and gain a deep understanding of music and listeners to impact the strategy and direction of Spotify. You will study user behavior, strategic initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will impact how we think about user growth and how we can make Spotify available and accessible for more people in the world. What you’ll do: Perform analyses on large sets of data to extract actionable insights that will help drive decisions across the user funnel – such as acquisition, activation, and retention. Work on larger user understanding projects to understand and recommend our next direction to drive user growth. Work on end-to-end projects to ensure your findings are executed and tested in a desired way. Work closely with cross-functional teams of analysts, researchers, product owners, marketers, designers, and others across the company who are passionate about Spotify’s user growth. Work from our offices in New York. Who you are: You have a deep understanding of numbers and a strong business sense for growth drivers. You have at least 3+ years of experience in a similar data scientist role and a degree in science, computer science, statistics, economics, mathematics, or a similar quantitative discipline. You have the technical competence to perform more advanced analytics: Coding skills (such as Python). Analytics tools experience (such as Pandas, R, or SQL). You have experience performing analysis with large datasets. You have experience collaborating closely with research to design novel analytical approaches in response to loosely defined problems. You have experience driving real-world product or feature decisions based on your analysis. You are a communicative person who values building strong relationships with colleagues and stakeholders and has the ability to explain complex topics in simple terms. You’re capable of mentoring more junior data scientists to set them up for success. 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. #J-18808-Ljbffr

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