Data Scientist I - Growth Analytics

We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Growth Analytics Lead to evaluate and influence our global growth strategy. You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 670M+ users around the globe. At your fingertips, you’ll have access to all of the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio! What You'll Do Develop data driven strategies to drive the growth of Spotify users and subscribersIdentify new user growth levers and use experimentation to help drive that growthCreate and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimizationBuild scalable data pipelines and dashboards to facilitate business performance trackingWork closely with business partners to understand the change they are driving and help them discover new opportunities for growthDesign and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the wayPresent your findings to senior collaborators, influencing the course of our business Who You Are 2+ years experience synthesizing insights from data using tools such as Python/R, SQL and experience with distributed systemsIntellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the dataHave experience collaborating with partners to measure the impact of business/ marketing initiatives and presenting those findings in coherent recommendationsHave a background in Computer Science, Statistics, Engineering or other relevant fieldComfortable working on a globally distributed team (with occasional international travel)Relevant experience in a consumer tech/product company is a plus Where You'll Be This role is based in 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. We ask that you come in 2-3 times per week.

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