Senior Data Scientist – Core Infrastructure

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!

View company page

Core Infrastructure’s goal is to provide world-class cloud-native infrastructure to Spotify’s engineers. As a member of the insights team, you’ll work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about creating scalable products for our developers and customers. You’ll help us understand and measure the impact of engineering investments and drive product decisions to unlock and maximize Spotify’s developer productivity. 

What You'll Do

  • Define metrics, create key datasets, and build dashboards reports 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.
  • Collaborate closely and support product managers and engineers across the organization to create and promote shared data-informed methods.
  • Develop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at Spotify.
  • Derive relevant answers and actionable insights from loosely defined problems.

Who You Are

  • You have 5+ years of relevant experience, working with software engineering teams.
  • You have relevant training in statistics, mathematics, computer science, engineering, economics or another quantitative discipline.
  • You possess statistical skills to perform advanced analytics (such as regression modeling and significance testing)
  • You have experience working with large datasets in a cloud-based data processing environment, such as BigQuery or similar and visualization tools (like Tableau or Data Studio)
  • You have coding skills, such as Python, Java, or Scala, and experience with analytics tools such as Pandas, R, SQL, or Hadoop

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 and is within working hours.
  • Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located in that time zone.
  • 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.
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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: BigQuery Computer Science Data Studio Economics Engineering Hadoop Mathematics Pandas Python R Scala SQL Statistics Streaming Tableau Testing

Region: Europe
Country: Sweden
Job stats:  19  1  0
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.