Spotify
Data Scientist, Music Expression
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.
Referrals increase your chances of interviewing at Spotify by 2x
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
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.
#J-18808-Ljbffr
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.
Referrals increase your chances of interviewing at Spotify by 2x
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
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.
#J-18808-Ljbffr