Data Scientist - Publishing Solutions

New York, NY

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Spotify

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The Publishing Solutions team is looking for a Data Scientist to support our innovation strategies for Music Publishing. Your mission is to coalesce numerous big data sources, from listening behavior to music rights metadata to royalties, and empower senior leaders across accounting, licensing, R&D and legal to make decisions in a constantly evolving environment. In this role, you will be responsible for fulfilling complex requests end to end: from scope definition, to data analysis, to communicating resolution to partners. You will also be challenged to build reusable dashboards and operational tools to enable Publishing Solutions to scale its impact.

What you'll do

  • Perform analyses on large sets of data to extract actionable insights that will help drive senior leadership decisions relating to publishing licensing and operations strategy globally
  • Extract and leverage various data sources at Spotify to generate insights and tell stories about trends in the industry
  • Become a domain expert in Spotify Music Publishing operations, offering trusted guidance to partners teams on the global complexity of rights and royalties systems.
  • Build and maintain reusable queries and scripts for Publishing Solutions team members
  • Be part of a team of Program Managers and other Data Scientists/Analysts to resolve requests both independently and cross-functionally
  • Partner with engineers to craft important metrics for Spotify’s rights & royalty systems

Who you are

  • You have a degree in computer/data science, statistics, economics, mathematics, or similar quantitative field
  • You have worked in data analytics for at least 3 years with demonstrable experience in a business context
  • You are a communicative person who values building positive relationships with colleagues and partners
  • You are capable of taking on loosely defined problems and lead both technical and non-technical colleagues with limited guidance
  • Bonus: You have previous experience working with recording or publishing rights (Publisher/PRO/Collecting Society) and a passion for the music industry.
  • You have the technical competence to perform advanced analytics with large data sets with experience in Python, SQL and/or other analytic tools (e.g. Pandas, R, Bigquery) and visualization packages (e.g. Tableau, Google Data Studio, D3). Experience with Google Cloud Platform for data extraction / management is a plus.

Where you'll be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location.
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
  • Working hours? We operate within the Eastern Standard time zone for collaboration.
Spotify is an equal opportunity employer. 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 forward-thinking! 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 chance to enjoy and be passionate about 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 381 million users.
This position is not eligible to be performed in Colorado.
Job region(s): North America
Job stats:  5  1  0
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