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The Role
Use data analysis, experimentation, statistical modeling, and forecasting to guide Spotify’s product and business strategies. Analyze A/B and quasi-experiments, identify growth opportunities, assess new initiatives, and translate complex findings into actionable recommendations for senior leadership. Partner with cross-functional business teams and communicate insights across varying technical audiences.
Summary Generated by Built In
We are looking for a Data Scientist to join the Business Analytics team within Spotify’s Business Strategy and Insights organization. Our team tackles some of Spotify’s most consequential strategic questions, shaping the trajectory of our business and improving the experiences of our over 700M active users across more than 180 countries.
In this role, you will use data analysis, experimentation, and statistical modeling to identify, assess, and launch a broad range of new initiatives and product features that span both product and business teams. You will also regularly assess the health of our business and identify areas of opportunity, translating these insights into clear, actionable recommendations for senior leadership.
At Spotify, you'll have access to some of the richest datasets in the world and the autonomy to explore them creatively and rigorously. Above all, your work will shape how the world listens, discovers, and connects through audio.
What You'll Do
- Develop data-driven strategies to support the growth of Spotify’s active users and subscribers
- Create and communicate impactful findings and recommendations that improve the Premium product
- Model and forecast the impact of new business initiatives
- Work closely with business partners to understand the changes they are driving and help them discover new opportunities for growth
- Analyze experiments (A/B tests; quasi-experiments) to measure the impact of new features and go-to-market initiatives
- Present your findings to senior leaders, influencing the course of our business
Who You Are
- You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm.
- You are fluent in SQL and Python or R, and have a strong grasp of statistical methods and causal inference. Direct experience with product analytics or experimentation is a plus.
- You enjoy partnering with a range of cross-functional stakeholders and working on varied projects involving different products and problem spaces.
- You have a strategic mindset and an eye for cleanly extracting the “so what” from complex, technical analyses.
- You are an excellent communicator adept at presenting to senior leadership and audiences of varying levels of technical knowledge.
- You are comfortable working through ambiguous, complex problems and don’t get discouraged when the path forward isn’t immediately clear.
- You hold at least a Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
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.
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.
Skills Required
- 5+ years of professional experience in data science or analytics
- Fluency in SQL and Python or R
- Strong understanding of statistical methods and causal inference
- Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field
- Experience with product analytics or experimentation
- Experience at a consumer technology company or top-tier consulting firm
- Ability to communicate findings and recommendations to senior leadership
- Ability to work with cross-functional stakeholders on ambiguous and complex problems
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
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The Company
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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