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We’re looking for a Data Scientist to join the Music Expression (MusicX) Product Area at Spotify. In this role, you’ll use data, experimentation, and statistical modeling to shape the future of video and artist identity products on Spotify. The role is a unique balance of thinking anchored both from the perspective of the music-industry as well that of Spotify consumers. Your work will turn data into insights and insights into action to influence how millions of artists and listeners experience Spotify every day.
You’ll sit within a cross-functional team of product, engineering, design, and insights working together to find opportunities, design experiments, and measure impact. You’ll develop scalable analytical frameworks and data tools that empower teams to make better decisions, faster.
At Spotify, you’ll have access to one of the richest datasets in the world — along with the autonomy to explore it creatively and rigorously. Above all, your work will help shape how the world listens, discovers, and connects through audio.
What You'll Do
- Use analytical and statistical methods to uncover insights about the impact of video products within the Spotify ecosystem for artists and listeners
- Design, implement, and interpret A/B tests and other experiments to measure product and marketing effectiveness
- Define and operationalize key metrics that track product health, growth, and performance
- Partner cross-functionally with product, user research, engineering, design, and marketing teams to shape and inform strategy
- Develop and maintain scalable data pipelines, dashboards, and reporting systems that enable data-driven decisions
- Build robust, data-backed attribution and measurement frameworks to assess the incremental impact of product initiatives
- Contribute and communicate insights that influence strategic planning
- Communicate findings and recommendations clearly to collaborators across levels, influencing priorities and product direction
Who You Are
- You have 4+ years of experience analyzing large, complex datasets using SQL and Python (or R), and are fluent in modern analytical and statistical techniques
- You have a deep understanding of consumer behaviors
- You have experience working with multi-modal datasets
- You bring hands-on experience running and interpreting experiments and incrementality tests
- You’re skilled at designing metrics that measure the strategic impact of products and setting ambitious but realistic goals
- You can distill complex data into clear insights and actionable recommendations that influence product strategy
- You collaborate efficiently with cross-functional partners, including Product Managers, Designers, and Engineers, and communicate insights with clarity and confidence
- You’re comfortable working with visualization tools (e.g., Tableau, Looker Studio) to create compelling narratives from data
- You’re intellectually curious, creative, and rigorous — equally excited about shaping business strategy as you are about refining analytical methods
- You’re passionate about music and artists
- You hold a quantitative degree (e.g., Statistics, Computer Science, Engineering, Economics) or equivalent experience
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location
- This team operates within the Eastern Standard time zone for collaboration
The United States base range for this position is $110,018 - $157,169 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, paid sick leave. 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 transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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
