We are looking for a Data Scientist to join the Business Analytics team within Spotify’s Business Strategy and Insights organization. You will work with the Audiobooks Analytics Lead to help shape our global audiobooks strategy and improve the experience for listeners, creators, publishers, and authors.
In this role, you will use data analysis, experimentation, and statistical modeling to evaluate some of the most important opportunities facing our audiobooks business. Your work will span content and catalog strategy, discovery and recommendations, subscriber growth, and new product and commercial initiatives. You will turn complex questions into clear recommendations and help senior leaders make confident decisions.
You will collaborate with a distributed team of analysts, data scientists, business leaders, product managers, editorial partners, and engineers. At Spotify, you will have access to rich datasets and the autonomy to explore them creatively and rigorously. Above all, your work will help shape how the world listens to and discovers audiobooks.
What You'll Do
- Develop data-driven strategies for audiobook catalog, content discovery, listener engagement, and subscriber growth.
- Evaluate new product, content, licensing, and commercial opportunities through forecasting, scenario modeling, and impact measurement.
- Partner with Editorial, Personalization, Product, Finance, and Business teams to improve title selection, recommendation quality, and the listener experience.
- Design and analyze experiments, including A/B tests and quasi-experiments, to measure the impact of product and go-to-market initiatives.
- Monitor the health of the audiobooks business, identify emerging opportunities or risks, and translate them into clear recommendations.
- Develop reliable analytical datasets, tools, and reporting that make important insights accessible and repeatable.
- Work with analytics engineering and data partners to improve data quality and create scalable ways of working.
- Present findings and recommendations to senior leaders, influencing the direction of our product and business.
Who You Are
- 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.
Where You'll Be
- 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.
Skills Required
- 3+ years of professional experience in data science or analytics
- Fluency in SQL
- Proficiency in Python, R, or another programming language
- Strong understanding of statistical methods, experimentation, and causal inference
- Degree in Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
- Experience with consumer technology, media, subscriptions, marketplaces, or a similarly complex business
- Experience with product analytics, recommendation systems, content businesses, or digital marketplaces
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
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