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Spotify Data Science Jobs (NOW HIRING)

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product ... data scientists, data engineers, and product managers to establish baselines, inform product ...

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product ... data scientists, data engineers, and product managers to establish baselines, inform product ...

Associate Manager, Marketing Science

New York, NY · On-site

$36 - $49.50/hr

As a Marketing Science Associate Manager, you will play a crucial role in developing our ... Spotify's unique value proposition * Extract insights from large and diversified data sets (1st ...

As a Marketing Science Associate Manager, you will play a crucial role in developing our ... Spotify's unique value proposition * Extract insights from large and diversified data sets (1st ...

... data scientists to identify and solve challenging problems. Qualifications : Required : • 4+ ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

New

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 ...

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

New

... 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 ...

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

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:
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.

Engineering Manager - Messaging Platform & Tooling

Spotify

New York, NY

$164K - $234K/yr

Other

Medical, Retirement, PTO

Re-posted 2 days ago


Job description

The Subscriptions Mission builds and evolves Spotify's subscription products to drive sustainable growth by improving conversion, retention, and overall user value. We create seamless, personalized experiences that make it easy for users to discover, upgrade, and stay engaged with Spotify.

Messaging Platform & Tooling is the system that decides what Spotify says to its 700M+ users - and how, when, and where it says it. Nearly every push notification, email, and in-app message flows through this platform, making it one of the highest-leverage systems at Spotify.

Within this space, the Selection squad sits at the core - acting as the decision engine that determines what message reaches each user in real time. You'll join a high-performing, collaborative team of senior engineers and play a key role in shaping the next generation of this platform as we invest heavily in its future.

What You'll Do
  • Lead and support the Selection engineering team, focusing on growth, performance, and creating an environment where engineers can do their best work
  • Partner with Product, Data Science, and ML Engineering to define and deliver the technical roadmap for Selection
  • Guide the evolution of Selection from a rules-based system to a more advanced, signal-driven and ML-informed decision engine
  • Deliver platform capabilities that directly impact user engagement, retention, and conversion across Spotify
  • Collaborate across squads and domains to ensure seamless integration and alignment across the Subscriptions mission
  • Represent Selection in planning, strategy discussions, and initiative scoping tied to high-impact business goals
  • Balance speed, scalability, and reliability while navigating complex platform trade-offs that affect millions of users
  • Contribute to the broader engineering culture through hiring, architecture discussions, and cross-team collaboration
 
Who You Are
  • You have 3+ years of experience managing software engineers and have supported teams through growth and delivery
  • You bring a strong sense of ownership and think beyond execution to understand impact, trade-offs, and long-term direction
  • You have experience working with complex systems such as distributed systems, real-time pipelines, or platform infrastructure
  • You care deeply about people and create an environment built on trust, clarity, and continuous development
  • You communicate clearly and effectively with engineers, cross-functional partners, and senior stakeholders
  • You are comfortable engaging in technical discussions and asking thoughtful, probing questions
  • You approach ambiguity with curiosity and are energized by building in evolving and high-impact environments
  • You value collaboration and contribute to an inclusive, supportive team culture
Where You'll Be
  • This role is based in New York
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
The United States base range for this position is $164,448 - $234,926, 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, 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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