Summer Internship, Data Scientist | Experience Mission (EMEA)
Stockholm
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!We are looking for Data Scientist Interns to Join The Band and help drive a data-first culture across Spotify. Our Data Scientist mission is to turn terabytes of data into insights and get a deeper understanding of music and listeners so that we can impact the strategy and direction of Spotify. You will study user behaviour, 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 datasets to extract practical insights on the user experience that will help drive decisions across the business.
- Build dashboards, data pipelines, and recurring reporting results, empowering creative growth and business decision making.
- Communicate data-driven insights and recommendations to key collaborators.
- Work closely with multi-functional teams of analysts, product owners, marketers, designers, and others across the company who are passionate about Spotify’s success.
- Be a member of the Spotify-wide data-science community.
Who you are
- You are pursuing a degree (Bachelor’s or Master’s) or bootcamp certification in Statistics, Mathematics, Computer Science, Engineering, Economics, or another similar quantitative subject area, and have a graduation date of 2024
- You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2023
- Strong interpersonal skills and comfortable working with partners across disciplines
- You harbor a passion for numbers and the use of data to make decisions
- Experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling
- Familiarity with A/B testing methodologies
- Proficiency with Python, R, or similar programming languages
- Proficiency in SQL (We use Google BigQuery)
- Experience performing analysis with datasets and generating relevant answers and impactful insights Nice to have: experience with data visualization tooling (Data Studio, Tableau, etc.)
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 EMEA region in which we have a work location.
- Prefer an office to work from 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 Central European 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.
Tags: A/B testing BigQuery Computer Science Data pipelines Data Studio Data visualization Economics Engineering Mathematics Pipelines Python R SQL Statistical modeling Statistics Streaming Tableau Testing
Perks/benefits: Career development
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