Data Scientist - Advertising
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.
We are looking for Data Scientists to join our multidisciplinary Advertising R&D Product Insights team. Opportunities are available on both our Ad Demand and Commercialization team, and our Ads Data Platform team.
The Ad Demand and Commercialization enables the scaling and advancement of Spotify Advertising by working with our self-service advertising platform, Spotify Ads Manager. This team operates at the crossroads of R&D and the Ads business, providing key data and insights to a wide range of partners to help them understand the performance of Spotify Ads Manager and the advertiser experience with Spotify.
The Ads Data Platform team is responsible for building our audience targeting products. You will support ML model development and the launch and evaluation of ad products powered by these models, servicing both brand and direct response advertisers. You will work alongside product managers, engineers, and product marketers, leading the development of our audience targeting offerings from a data science perspective.
As part of the Advertising team, you’ll work on the latest advertising technologies to connect millions of brands to billions of fans. We’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Join us and help build the product solutions that empower this!
What You'll Do
Partner with product, engineering, and marketing teams to solve complex challenges with data-driven solutions
Analyze large datasets to generate insights that guide product, platform, and business decisions
Define data requirements and support implementation for new product launches
Build scalable solutions to surface key metrics, dashboards, and reporting tools
Design and run experiments to improve user and advertiser outcomes
Write efficient code (SQL, Python, R) for data extraction, analysis, and modeling
Communicate insights clearly to both technical and non-technical partners
Mentor peers while driving projects from scoping to delivery
Who You Are
You have 4+ years of data science experience and a degree in a quantitative field
You are skilled in SQL, Python or R, and comfortable working with large, complex datasets
You have experience with data visualization tools (Tableau, Looker, matplotlib)
You bring strong knowledge of statistical analysis, machine learning, and advanced analytics
You can translate complex ideas for diverse stakeholders
You are a creative problem-solver who thrives in ambiguity and takes ownership from idea to impact
You are curious, collaborative, and excited to help shape the future of Spotify Advertising
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
This team operates within the U.S. Eastern time zone for collaboration.
The United States base range for this position is $143,023.00- 204,319.00, 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. 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.
About the job
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Data Scientist - Advertising
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.
We are looking for Data Scientists to join our multidisciplinary Advertising R&D Product Insights team. Opportunities are available on both our Ad Demand and Commercialization team, and our Ads Data Platform team.
The Ad Demand and Commercialization enables the scaling and advancement of Spotify Advertising by working with our self-service advertising platform, Spotify Ads Manager. This team operates at the crossroads of R&D and the Ads business, providing key data and insights to a wide range of partners to help them understand the performance of Spotify Ads Manager and the advertiser experience with Spotify.
The Ads Data Platform team is responsible for building our audience targeting products. You will support ML model development and the launch and evaluation of ad products powered by these models, servicing both brand and direct response advertisers. You will work alongside product managers, engineers, and product marketers, leading the development of our audience targeting offerings from a data science perspective.
As part of the Advertising team, you’ll work on the latest advertising technologies to connect millions of brands to billions of fans. We’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Join us and help build the product solutions that empower this!
What You'll Do
Partner with product, engineering, and marketing teams to solve complex challenges with data-driven solutions
Analyze large datasets to generate insights that guide product, platform, and business decisions
Define data requirements and support implementation for new product launches
Build scalable solutions to surface key metrics, dashboards, and reporting tools
Design and run experiments to improve user and advertiser outcomes
Write efficient code (SQL, Python, R) for data extraction, analysis, and modeling
Communicate insights clearly to both technical and non-technical partners
Mentor peers while driving projects from scoping to delivery
Who You Are
You have 4+ years of data science experience and a degree in a quantitative field
You are skilled in SQL, Python or R, and comfortable working with large, complex datasets
You have experience with data visualization tools (Tableau, Looker, matplotlib)
You bring strong knowledge of statistical analysis, machine learning, and advanced analytics
You can translate complex ideas for diverse stakeholders
You are a creative problem-solver who thrives in ambiguity and takes ownership from idea to impact
You are curious, collaborative, and excited to help shape the future of Spotify Advertising
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
This team operates within the U.S. Eastern time zone for collaboration.
The United States base range for this position is $143,023.00- 204,319.00, 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. 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.