Data Scientist - Audiobooks Analytics
Role Summary
Join Spotify as a Data Scientist in London to shape the audiobooks strategy and improve user experience through data analysis.
Minimum Requirements
Where You'll Be
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.
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- You have 3+ years of professional experience in data science or analytics, ideally in consumer technology, media, subscriptions, marketplaces, or a similarly complex business.
- You are fluent in SQL and proficient in Python, R, or another programming language, with a strong grasp of statistical methods, experimentation, and causal inference.
- You combine analytical rigor with strong business judgment and can cleanly extract the “so what” from complex analysis.
- You are comfortable working through ambiguous problems, structuring open-ended questions, and identifying a practical path forward.
- You enjoy collaborating with a wide range of cross-functional partners and can build trust across technical and non-technical teams.
- You are an excellent communicator who can present complex findings clearly to senior leaders and audiences with different levels of technical knowledge.
- You have a degree in Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
- Experience with product analytics, recommendation systems, content businesses, or digital marketplaces is a plus.
- This role is based in London.
- We offer flexibility to work where you work best. There will be some in-person meetings, while still allowing flexibility to work from home.
Eligibility Criteria
Eligibility not specified; further investigation into visa sponsorship is required.
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