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Spotify Data Science Jobs (NOW HIRING)

Spotify

Senior Machine Learning Engineer - Personalization

$107K - $146K/yr

... Data Science, Product, and Design partners to define success metrics, run A/B experiments, and ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

Spotify

Senior Staff Machine Learning Engineer

New York, NY

$114K - $157K/yr

Generative AI is transforming Spotify's product capabilities and technical architecture. Generative ... Collaborate with a cross functional agile team spanning user research, design, data science ...

Spotify

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Generative AI is transforming Spotify's product capabilities and technical architecture. Generative ... Collaborate with a cross functional agile team spanning user research, design, data science ...

Adelaide Metrics, Inc.

Data Scientist

$135K - $145K/yr

TL;DR Fast-growing ad-measurement company looking for an individual to work with our data science ... Spotify, and The New York Times-continue to demonstrate AU's value across the media lifecycle.

Spotify

Staff Machine Learning Engineer

New York, NY

$227K - $324K/yr

... Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and ...

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How much do spotify data science jobs pay per year?

As of Jun 8, 2026, the average yearly pay for spotify data science in the United States is $116,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $161,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Spotify Data Science position, and why are they important?

To thrive as a Spotify Data Science professional, you need a solid grounding in statistics, machine learning, data analysis, and experience with programming languages such as Python or Scala, generally supported by a degree in computer science, math, or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud computing, SQL, and data visualization tools is highly valued, as are certifications in data science or analytics. Strong communication skills, creativity, and cross-functional collaboration are vital soft skills for translating data insights into actionable business solutions. These skills enable you to effectively analyze user behavior, improve product recommendations, and drive data-informed decisions in Spotify’s fast-paced, innovative environment.

What is the typical work environment and team structure for a Data Science role at Spotify?

Spotify Data Scientists commonly work in cross-functional teams alongside engineers, product managers, and designers, focusing on projects such as enhancing recommendation algorithms or analyzing user engagement. The environment is collaborative and fast-paced, often involving agile methodologies and regular knowledge sharing through team standups, code reviews, and data deep dives. Data Scientists are encouraged to experiment, drive innovation, and contribute ideas across the product lifecycle, making it an engaging setting for continuous learning. Team members may work remotely or from Spotify offices, with a strong emphasis on open communication and diversity of thought.

What is a Spotify Data Science job?

A Spotify Data Science job involves analyzing user behavior, music trends, and product performance to drive data-informed decisions. Data scientists at Spotify work with large-scale datasets, use machine learning and statistical models, and collaborate with product, engineering, and business teams. They help improve recommendations, personalize user experiences, and optimize content discovery. The role typically requires strong programming skills (Python, SQL), experience with data visualization, and expertise in A/B testing and experimentation.

More about Spotify Data Science jobs
What cities are hiring for Spotify Data Science jobs? Cities with the most Spotify Data Science job openings:
What are the most commonly searched types of Spotify Data Science jobs? The most popular types of Spotify Data Science jobs are:
What states have the most Spotify Data Science jobs? States with the most job openings for Spotify Data Science jobs include:
What job categories do people searching Spotify Data Science jobs look for? The top searched job categories for Spotify Data Science jobs are:
Spotify Data Science jobs near you
Infographic showing various Spotify Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.

Machine Learning Engineer, Personalization, Minesweeper

Spotify

New York, NY • Remote

$138K - $197K/yr

Full-time

Posted 24 days ago

Job description

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.”
 
Personalization’s Minesweeper squad produces Human Understandable Language Knowledge to enrich music and talk content understanding. We use AI and ML techniques, including Large Language Models, to understand music, podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. We are looking for a Machine Learning Engineer to join our team and help build the future of music, podcast and audiobook listening experiences for millions of listeners at Spotify. This is a unique opportunity to help develop and shape Spotify content enrichment, and recommendations. You’ll grow your skills in ML engineering at scale, work with a cross-functional team of Data Engineers, Backend Engineers, and researchers, and join a motivated and supportive team.
What You'll Do
  • Utilize in-house and 3rd party LLMs to solve language understanding problems
  • Employ techniques such as fine-tuning and RAG to improve models
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
  • Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
  • Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
  • Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions
  • Stay up-to-date on the latest machine learning algorithms and techniques
Who You Are
  • You have a strong background in machine learning, especially experience with Large Language Models
  • You have professional experience in applied machine learning
  • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
  • You have some hands-on experience implementing or prototyping machine learning systems at scale
  • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You have experience and passion for fostering collaborative teams
  • Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks. Experience with Ray or TFX is a plus
  • Bonus if you have experience with architecting near real time pipelines
Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North America 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 $138,250- $197,500 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.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice