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Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead and execute US Medical Affairs strategies for the obesity portfolio, provide scientific expertise, review materials for compliance, support data generation and publications, manage advisory boards and external partnerships, and collaborate cross-functionally to advance medical and scientific objectives.
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.
The United States base range for this position is $116 995 - $167 135, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
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.
Spotify New York, New York, USA Office
4 World Trade Center, New York, NY, United States, 10007
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
