ZipRecruiter

Log In

1

Spotify Data Science Jobs (NOW HIRING)

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

Manager, Partner Product and Delivery

Miami, FL

$70K - $101K/yr

Ensure that Spotify's commitments in a partner relationship are delivered, as well as follow-up on ... Science or equivalent experience. * You are proficient with REST APIs, SQL and big data analytics ...

Spotify

Manager, Partner Product and Delivery

Miami, FL · On-site

$70K - $101K/yr

Ensure that Spotify's commitments in a partner relationship are delivered, as well as follow-up on ... Science or equivalent experience. * You are proficient with REST APIs, SQL and big data analytics ...

Umusic

Manager, Data and Analytics

Nashville, TN · On-site

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 ...

Chartmetric

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

Together, we combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube ... Collaborate with Data Scientists to transform raw music data into actionable insights that drive ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

They can act as data scientists, but should be comfortable pushing their algorithms, models, and ... Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc). * Experience building ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

They can act as data scientists, but should be comfortable pushing their algorithms, models, and ... Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc). * Experience building ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Atlanta, GA · On-site

$110K - $132K/yr

We build pipelines and prepare data for use by data scientists, data analysts, and other data ... Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more * Employee ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

We build pipelines and prepare data for use by data scientists, data analysts, and other data ... Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more * Employee ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Reston, VA · On-site

$119K - $143K/yr

We build pipelines and prepare data for use by data scientists, data analysts, and other data ... Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more * Employee ...

next page

Showing results 1-20

All JobsSpotify Data Science Jobs

Spotify Data Science information

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.

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 within the company. They often work with large datasets, programming languages like Python or R, and tools such as Spark or Hadoop.

What do data scientists at Spotify do?

Data scientists at Spotify analyze large datasets to understand user behavior, improve recommendation algorithms, and optimize the platform's features. They use statistical models, machine learning techniques, and tools like Python and SQL to derive insights that enhance user experience and engagement.

How to become a data scientist for 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 such as computer science, mathematics, or engineering.

Is it hard to get hired by Spotify?

Getting hired as a data scientist at Spotify can be competitive, as the company seeks candidates with strong analytical skills, experience with machine learning, and proficiency in tools like Python and SQL. Candidates often go through multiple interview rounds, including technical assessments and behavioral interviews, to demonstrate their expertise and cultural fit.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Spotify

New York, NY • On-site, Remote

$170K - $212K/yr

Other

Medical, Retirement, PTO

Re-posted 12 hours ago

Job description

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it's a DIY artist or an industry-facing partner.

As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You'll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You'll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.

What You'll Do
 
  • Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify's promotional performance with hands-on ML development
  • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
  • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
  • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
  • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.
Who You Are
 
  • You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.
  • You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.
  • You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.
  • You have experience in optimizing machine learning models for production use cases
  • You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
  • You have some exposure to causal ML models, including things like counterfactuals.
  • You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
The United States base range for this position is $170,000 - $212,000 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
apply for this job

Apply