1+ months

Senior Data Scientist - Platform - Spotify

New York, New York

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.

Spotify is a fast-moving company with an ambition that every decision should be data-informed and every feature is fueled with data. To make this happen we invest heavily in our data engineering and insights function. Our tribe works closely with our users, the engineers and technical teams throughout the company. In this role you’ll be supporting our customers and PDX to identify opportunities with data support end to end productivity for engineering teams. You will study our user behavior, support new product decisions, understand our strategic initiatives and bring data and insights into high impact business collaborations. You will significantly impact how Spotify works with observing, understanding and impacting the way the world experiences music through Spotify.

What You'll Do

  • Work closely with cross-functional teams of skilled engineers, data scientists, user researchers, product managers and designers who are all passionate about creating a world-class experience for all our users and employees.
  • Communicate insights and recommendations to the tribe and key stakeholders, helping to activate data best practices in the PDX teams as well as the analyst and engineering communities across all of Spotify.
  • Define metrics, build and analyze dashboards, reports and key datasets to empower data-informed product development.
  • Perform exploratory analysis to understand who our users are, how they get value out of our offering and where we can further develop our product to bring greater value
  • Work from our offices in New York


Who You Are

  • You have at least 2 years of relevant experience, with a degree in statistics, mathematics, computer science, engineering, economics or any other quantitative discipline.
  • You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching othersYou know how to understand and seek loosely defined problems and come up with meaningful answers and actionable insights.
  • You have an understanding of how to instrument products to accurately collect user and system behaviors through data for a wide variety of insight and product development use cases.
  • You have the competence to perform advanced analytics.
  • Experience performing analysis with large datasetsAnalytics and visualization tools experience (such as SQL, Tableau, R, Pandas)
  • You possess statistical competence (such as regression modeling and significance testing)
  • Coding skills (such as Python, Java or Scala)

You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 286 million users.


Posted: 2020-06-18 Expires: 2020-08-17

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Senior Data Scientist - Platform - Spotify

New York, New York

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