Summer Internship, Data Scientist (Consumer & Platform)

New York, NY

Applications have closed

Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

View company page

We are looking for Data Scientist Interns to #JoinTheBand and help drive a data-first culture across Spotify. Our Data Scientist mission is to turn terabytes of data into insights and get a deep understanding of music and listeners so we can impact the strategy and direction of Spotify. You will study user behavior, critical initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will impact the way the world experiences audio. 

What you'll do

  • Perform analyses on large sets of data to extract concrete insights that will help drive decisions across the business
  • Build dashboards and recurring reporting results, empowering creative growth and business decisions.
  • Communicate data-driven insights and recommendations to key collaborators
  • Work closely with cross-functional teams of analysts, product owners, marketers, designers, and others across the company who are passionate about Spotify’s success

Who you are

  • You are pursuing a Bachelor’s, Master’s degree or bootcamp certification in Science, Computer Science, Statistics, Economics, Mathematics, or similar quantitative field
  • You are a sophomore, junior or senior in undergrad or a first or final year in a Master's program
  • You have harbor a passion for numbers and the use of data to make decisions
  • You have have technical competence to perform more analytics in one or more of the following areas:
  • Coding skills (such as Python, Java, or Scala)
  • Analytics tools experience (such as Pandas, R, SPSS, SQL or Tableau)
  • Experience performing analysis with large datasets

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.
Our paid summer internships last for 10-13 weeks and start at the beginning of June. The last day to apply is January 10th, 2022 at 11:59 PM EST.
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.

Tags: Computer Science Economics Mathematics Pandas Python R Scala SQL Statistics Streaming Tableau

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  134  39  1
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.