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Spotify Data Science Jobs (NOW HIRING)

Spotify

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

Collaborate with backend engineers, data scientists, data engineers, and product managers to ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Menlo Ventures

Machine Learning Scientist

San Francisco, CA · On-site

$160 - $280/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are a team of musicians and AI experts, including alumni from Spotify, TikTok, Meta and Kensho ... Intimate familiarity of the entire stack of data engineering, designing, training and evaluating ...

New

Podium Education

Data Analytics Instructor

Austin, TX · On-site +1

$4.0K/wk

... Spotify, Netflix, Shopify, Uber, Google, and Airbnb. Our flagship program is the Global Career ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

Podium Education

Data Analytics Instructor

Austin, TX · Remote

$4.0K/wk

... Spotify, Netflix, Shopify, Uber, Google, and Airbnb. Our flagship program is the Global Career ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

Anyscale

Software Engineer (Ray Data)

San Francisco, CA · On-site

$140 - $190/hr

Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech ... With Anyscale, we're building the best place to run Ray, so that any developer or data scientist ...

Umusic

Manager, Data and Analytics

Nashville, TN

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

How You'll CREATE Analyze large datasets across music streaming platforms (e.g., Spotify, Apple ... Bachelor's degree in business, Computer Science, Data Science, Mathematics, Economics, or a related ...

System

Research & Science

New York, NY · On-site +1

Collaborate with Data Science and Engineering to transition research findings into production ... VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read ...

System

Research & Science

New York, NY · On-site +1

Collaborate with Data Science and Engineering to transition research findings into production ... VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read ...

Universal Music Group

Manager, Data and Analytics

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

How You'll CREATE • Analyze large datasets across music streaming platforms (e.g., Spotify, Apple ... Data Science, Mathematics, Economics, or a related analytical field. • Passion for music and ...

Pavoai

Forward Deployed Scientist

San Francisco, CA · On-site

$120 - $160/hr

... Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small ... You will operate like an "Octopus Scientist"--leveraging autonomous agents to execute data cleaning ...

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Spotify Data Science information

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.

What are the key skills and qualifications needed to thrive in the Spotify data science position?

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.

How much do Spotify data scientists make?

Spotify data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in data analysis, machine learning, and programming tools like Python or SQL.

How to become a data scientist at Spotify?

To become a data scientist at Spotify, candidates typically need a strong background in statistics, programming (especially Python or R), and data analysis. Relevant experience with machine learning, data visualization, and familiarity with big data tools like Spark or Hadoop are also important, along with a bachelor's or master's degree in a related field. Building a portfolio of projects and gaining experience in the music or entertainment industry can enhance prospects.

What does a data scientist do at Spotify?

A data scientist at Spotify analyzes large datasets to uncover insights that improve user experience, personalize recommendations, and optimize content delivery. They use statistical models, machine learning techniques, and tools like Python, R, and SQL to interpret data and support product development. Strong analytical skills and knowledge of music streaming trends are essential for this role.
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Spotify Data Science jobs near you
Infographic showing various Spotify Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff Machine Learning Engineer, Personalization

Spotify

New York, NY • On-site, Remote

$227K - $324K/yr

Other

Medical, Retirement, PTO

Posted 21 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.
Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world.
As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.
What You'll Do
  • Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
  • Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
  • Build content recommendation systems for emerging agentic and AI-powered user experiences.
  • Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.
  • Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.
  • Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
  • Improve ML platform capabilities, data pipelines, and production systems that support personalization at Spotify scale.
  • Drive technical direction in ambiguous problem spaces and contribute to the long-term architecture of personalization systems.
  • Mentor and support other machine learning engineers, helping raise the bar across the team.

Who You Are
  • You have 8+ years of experience building and deploying machine learning systems in production environments.
  • You have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
  • You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.
  • You are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA.
  • You have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization.
  • You care deeply about creating high-quality user experiences through thoughtful application of machine learning.
  • You communicate effectively across technical and non-technical audiences, and you influence technical decisions beyond your immediate team
  • You know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes.
  • You have experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks.
  • You are experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.

Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas 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 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

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