Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.

We are looking for Data Scientists to join our Experience product area and help drive research and data initiatives.

As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.

What You’ll Do
Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience.
Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions.
Communicate insights and recommendations to stakeholders across Spotify.
Be a key partner in our work to build out our product strategy so that we are relevant in the daily lives of consumers.

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 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 .




Who You Are
Relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
Strong interpersonal skills and are comfortable working with multiple stakeholders.
Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.
Proficiency with Python, or similar programming languages.
Experience with Google BigQuery or proficiency in SQL.
Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
A/B testing methodologies.

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