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 a Data Scientist 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 approach 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.
