Data Scientist - Advertising
Spotify · New York City, NY · Data and Analytics
mid
Data Scientist
ic
· Posted May 8, 2026
$116,995 – $167,135
USD per year
About this role
Spotify is hiring a mid-level Data Scientist based in New York City, NY. The posting calls out experience with Python, SQL, dbt, LLMs. Compensation is listed at $116,995–$167,135 per year.
- Role
- Data Scientist
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY
- Department
- Data and Analytics
- Posted
- May 8, 2026
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Job description
from Spotify careersOur 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’re looking for a Data Scientist to join Spotify Advertising to focus on unlocking insights and building scalable internal data products that power advertiser growth and inform business strategy. Our work focuses on causal inference, experimentation, pricing, and optimization. We work closely with Sales and Marketing to build advertiser recommendation engines, tools, and insights along with Product and Engineering.
In this role, you’ll help build scaled data science solutions from idea to production and work closely with our business partners on solutions to ensure they deliver advertiser value and business growth. You’ll get an opportunity to work on AI Insights Automation & Dashboards, Causal Inference, and Pricing.
What You'll Do
- Partner with other data scientists, data engineers, and business stakeholders to generate actionable insights that inform business strategy
- Build and maintain tools, dashboards, and insights for Sales as they guide advertisers through their lifecycle on Spotify Advertising
- Design and implement rigorous statistical frameworks to evaluate incrementality and lift of business investment
- Translate ambiguous business problems into structured analytical approaches and deliver high-impact solutions independently
- Write production-quality code (Python, SQL, etc.) to manipulate and analyze large-scale datasets
- Communicate clear, data-driven recommendations to both technical and non-technical partners
Who You Are
- 4+ years of experience in a data science role, with a degree in economics, statistics, or a related quantitative field.
- Experience building and maintaining data pipelines (e.g., DBT) and developing scalable dashboards to enable self-serve insights.
- Strong foundation in causal inference and experimentation, with the technical depth to perform advanced analytics and build robust models.
- Proven ability to solve ambiguous, loosely defined problems and translate them into structured, data-driven solutions.
- Ability to operate independently with minimal oversight while delivering high-quality, reliable work.
- Clear communicator who can translate complex technical concepts into simple, actionable insights to non-technical audiences.
- Motivated to work alongside AI tools, with foundational LLM knowledge and awareness of emerging concepts (e.g., MCP, agent-based systems) and their productivity implications.
- Experience working in advertising and ideally in the programmatic space.
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, it can be within the North America region in which we have a work location.
- This team collaborates across the Eastern time zone
The United States base range for this position is $116,995.00 - $167,135.00, 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.