Associate Data Scientists - Deal Operations & Data Insights

New York, NY

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Posted 1 month ago

At Spotify our mission is to provide the world’s best platform for artists, creators, and fans.
The Deal Operations and Data Insights team in the Global Affairs department is responsible for driving a variety of strategic initiatives, including - among others - implementing licensing contracts, defining the data strategy for major labels and publishers, building standard reports for partners, driving business insights for the licensing team to facilitate contract negotiations. 
We are looking for a very motivated Associate Data Scientist to help the data science part of the team with their mission to provide excellent support and analysis to improve the licensing team’s decision making process and speed when it comes to our licensing partners - Labels and Publishers. This is a great opportunity to gain business context by working close to the partners and business, while improving your analytical and technical skills within the world of data science.
Spotify has a rich and constantly evolving landscape of data infrastructure with plenty of resources available and the opportunity to be part of the wider data science community.  With the help of the other data scientists on the team your mission will be to deliver the best service to our stakeholders, both internally and externally.

What You'll Do

  • Perform analysis on large sets of data to extract composition and licensing details that will help drive decisions relating to licensing
  • Verbally and visually communicate outcomes to key stakeholders on the licensing and legal teams
  • Look for opportunities to build and enhance methodologies for licensing to solve for legal and licensing requests
  • Utilize data to help building relationships with the music label and publishing community as well as non music partners
  • Partner with data scientists in other teams across Spotify to drive business insights on labels and publishers
  • Partner with the broader licensing team to help drive and improve partners business reviews
  • Participate in strategic meetings and driving change and new ideas forward in the team

Who You Are:

  • You have 2+ years of working experience with data analysis
  • You have moderate technical competence to perform data extraction and analysis
  • Experience with SQL Data Visualization experience (e.g., Tableau, Qliksense, Pandas)
  • Coding skills (such as Python, Java, R, or Scala) is a major plus
  • You have a degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline
  • You are a communicative person who values building strong relationships with colleagues and stakeholders
  • You have a deep understanding of numbers and business models, and experience extracting insights from large datasets to drive key business strategies
  • You are self-driven and have a good understanding of the business and communicate well with non-data colleagues
  • You are capable of tackling very loosely defined problems
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 271 million users.
Job tags: Economics Java Pandas Python R Scala SQL Tableau