Spotify Logo

Spotify

Data Scientist - Advertising

Sorry, this job was removed at 08:11 p.m. (EST) on Monday, Sep 29, 2025
In-Office or Remote
Hiring Remotely in New York, NY
In-Office or Remote
Hiring Remotely in New York, NY

Similar Jobs

An Hour Ago
Remote or Hybrid
2 Locations
109K-203K Annually
Senior level
109K-203K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Enterprise Account Executive will drive sales of Agentic Technology solutions, engage with customers, and collaborate with internal teams to meet revenue goals. The role requires experience in cybersecurity, consultative selling, and strong relationship-building skills.
Top Skills: Agent Identity SecurityCloud Data PlatformsCloud TechnologiesCybersecurity TechnologiesData Access SecurityIaasIdentity SecurityMachine Identity Security
3 Hours Ago
Remote or Hybrid
New York, NY, USA
72K-128K Annually
Mid level
72K-128K Annually
Mid level
AdTech • Digital Media • Marketing Tech
The Support Engineer 2 is responsible for product knowledge and technical support for Sales Representatives and customers, participates in product releases, assists in evaluating products, and provides problem resolution. Works collaboratively with the sales team and manages customer deployments and initiatives.
Top Skills: MS OfficeSQL ServerZendesk
4 Hours Ago
Remote or Hybrid
New York, NY, USA
132K-219K Annually
Senior level
132K-219K Annually
Senior level
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Director of Vendor Performance Management leads strategic development and execution of vendor relationships, ensuring compliance, operational efficiency, and customer satisfaction. Responsibilities include performance management, transformation initiatives, and mentoring a team.
Top Skills: Automated Service PlatformsFleet Technology
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 $110,018.00- 157,169.00, 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.

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account