Senior Data Scientist, Core Infrastructure

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.

Location: Stockholm or Remote EMEA

Job type: Permanent

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 modelling 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

• For this role, it can be within the EMEAregion in which we have a work location and is within working hours.
• 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.

Our global benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - fully paid - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.
• Spotify On Tour, join your colleagues on trips to industry festivals and events.