The Subscriptions team drives how Spotify grows by building compelling ways for listeners to experience and pay for Premium. We focus on creating the right plans, pricing, and value so that millions of listeners choose Spotify every day—and keep coming back.
You’ll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners—and how we can make it even better.
We look at what drives people to subscribe, what keeps them engaged, and how we can continuously improve the Premium experience. You’ll work closely with Product, Engineering, Design, and Research to shape decisions that impact millions of users around the world.
What You'll Do
- Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement.
- Design and analyze experiments to understand the impact of new features and product changes.
- Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.
- Define and track meaningful metrics that reflect the health and value of the Premium experience.
- Develop dashboards and tools that help teams monitor performance and make informed decisions.
- Investigate user behavior trends and bring forward insights that shape product direction.
- Partner closely with cross-functional teams to align on goals and translate data into action.
- Communicate insights clearly to a wide range of audiences, including senior stakeholders.
- Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers.
- Communicate insights clearly to a wide range of audiences, including senior stakeholders.
Who You Are
- You have 4+ years of experience in data science or analytics, working with product or business teams.
- You bring a strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience.
- You are confident working with large datasets and have strong skills in SQL and Python.
- You have experience designing and analyzing experiments and understand how to measure impact with rigor.
- You are comfortable owning projects end-to-end, from framing the problem to delivering actionable insights.
- You have experience applying AI or automation in analytics workflows by integrating LLM’s to streamline multi-step analyses.
- You communicate complex ideas in a clear, structured and engaging way.
- You are curious, proactive, and comfortable working in a fast-moving environment with some ambiguity.
- You enjoy collaborating across teams and building strong working relationships.
- You have experience in consumer products, subscriptions, or monetization-focused environments.
Where You'll Be
- This role is ideally based in New York City, United States.
- 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.
Skills Required
- 4+ years of experience in data science or analytics
- Strong foundation in statistics, economics, mathematics, or computer science
- Experience with SQL and Python
- Experience designing and analyzing experiments
- Experience applying AI or automation in analytics workflows
- Experience in consumer products or monetization-focused environments
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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