Job description
We are looking for Data Scientists from mid to senior level to join our insights team in Platform & Partner Experiences to help us drive and support evidence-based decisions throughout Spotify’s product development process. Our team is responsible for Spotify’s consumer experiences such as desktop, TV, speakers and smartwatches and for delivering work alongside some of our biggest tech partners. Together with us you will study user behaviour, evaluate critical initiatives and experiment with new features to drive decisions that influence the way the world experiences music, podcasts and audiobooks.
What You’ll Do
- You will collaborate with fellow Data Scientists and Data Engineers, and co-operate with cross-functional teams of product managers, engineers, designers and user researchers who are passionate about our consumer experience, to identify and answer key product questions via data.
- You will be a key partner in our work to build out and deliver innovative product features that create valuable and engaging listening moments in the daily lives of Spotify users.
- You will perform analysis on large sets of data to extract impactful insights about user behaviour and product usage that will help drive product decisions and guide our strategy.
- You will communicate insights and recommendations to stakeholders within your team and across Spotify.
Who You Are
- You have relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area. Previous experience in working as a Data Scientist for consumer-facing digital product development is strongly preferred.
- You have strong interpersonal skills and are a great stakeholder manager. You are expert in data visualisation and presentation, and can interpret information into clear actions and strategy.
- You can tackle loosely defined problems and come up with relevant analytical approaches and impactful insights.
- You have proficiency with Python, or similar programming languages, experience with Google BigQuery & expertise in SQL.
- You have hands-on knowledge of A/B testing methodologies and experimentation at scale, including application of this knowledge to digital products.
- You enjoy sharpening questions and developing hypotheses, and can collaborate with non-Data Scientists to clarify assumptions and influence decisions.
- You have extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
Where You’ll Be
- This role is based in Stockholm or London.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
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.
