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Spotify Data Science Jobs (NOW HIRING)

Spotify

Staff Machine Learning Engineer

New York, NY · On-site +1

$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 ...

Spotify

Product Designer - Advertising

New York, NY · On-site +1

$119K - $170K/yr

Partner with PMs, engineers, data scientists, researchers, and content designers to shape product ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Spotify

Product Designer - Advertising

New York, NY · On-site

$119K - $170K/yr

Partner with PMs, engineers, data scientists, researchers, and content designers to shape product ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Spotify

Senior Research Scientist - Music

New York, NY · On-site +1

$107K - $137K/yr

Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of ... D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry ...

Spotify

Machine Learning Engineer

New York, NY · On-site

$148K - $212K/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 ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/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 ...

Spotify

Senior Research Scientist - Music

New York, NY · On-site

$107K - $137K/yr

Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of ... D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry ...

Spotify

Machine Learning Engineer

Spotify is a leading audio streaming subscription service that aims to unlock the potential of ... with research scientists, machine learning engineers, and data engineers • Experience in ...

Spotify

Machine Learning Engineer

... with research scientists, machine learning engineers, and data engineers • Experience in ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

... Spotify's promotional performance with hands-on ML development * Collaborate with a ... scientists, machine learning engineers, and data engineers to innovate and improve models. * You ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

... Spotify's promotional performance with hands-on ML development * Collaborate with a ... scientists, machine learning engineers, and data engineers to innovate and improve models. * You ...

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Spotify Data Science information

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$23.5K

$116.9K

$210.5K

How much do spotify data science jobs pay per year?

As of Jun 7, 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.

Staff Machine Learning Engineer

Spotify

New York, NY • On-site, Remote

$227K - $324K/yr

Other

Medical, Retirement, PTO

Posted 8 days ago

Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with 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 other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.
What You'll Do
  • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
    • >
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
  • Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
    • >

Who You Are
  • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
    • >
  • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
    • >
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required.
    • >
  • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.
    • >
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
    • >

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 and EMEA 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 $227,495- $324,993 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

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