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Spotify Data Science Jobs in New York (NOW HIRING)

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

Data & AI/ML Engineering

New York, NY · On-site +1

Partner closely with Research and Data Science to move findings into production * Implement ... at Spotify. To learn more about what motivates our social mission, we invite you to read our blog ...

System

Data & AI/ML Engineering

New York, NY · On-site +1

Partner closely with Research and Data Science to move findings into production * Implement ... at Spotify. To learn more about what motivates our social mission, we invite you to read our blog ...

Adidev Technologies Inc

AI/ML

Hoboken, NJ · On-site

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

Adidev Technologies Inc

AI/ML

Hoboken, NJ · On-site

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

Vibe

Head of Marketing Science

New York, NY · Remote

Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia ... You'll represent the data side of the client relationship, bridging Vibe's technical capabilities ...

New

Vibe, Inc

Head of Marketing Science

New York, NY · On-site

Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia ... You'll represent the data side of the client relationship, bridging Vibe's technical capabilities ...

New

Vibe

Head of Marketing Science

Manhattan, NY · On-site

$250/hr

Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia ... You'll represent the data side of the client relationship, bridging Vibe's technical capabilities ...

New

Adelaide Metrics Inc.

VP, Engineering

Manhattan, NY · On-site

$250/hr

Our engineering is vital and a key component that links data science, product, client services and ... Spotify, and The New York Times--continue to demonstrate AU's value across the media lifecycle.

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · On-site

$150 - $200/hr

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

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All JobsSpotify Data Science JobsSpotify Data Science Jobs in New York

Spotify Data Science information

See New York salary details

$25.7K

$127.8K

$230.1K

How much do spotify data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for spotify data science in New York is $127,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,969.00 and $176,016.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Spotify Data Science jobs in New York?

For Spotify Data Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Spotify Data Science jobs in New York look for?

The top searched job categories for Spotify Data Science jobs in New York are:

Spotify Data Science jobs near you
Infographic showing various Spotify Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $127,764 per year, or $61.4 per hour.

Research & Science

System

New York, NY • On-site, Remote

Full-time

Re-posted 5 days ago

Job description

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. 

At System, research is the origin of our most important ideas - and researchers work at the frontier of graph theory, clinical AI, causal inference, and knowledge representation to push the boundaries of what our platform can do.

As a researcher at System, you will:
  • Develop and validate novel methods for modeling complex, interconnected systems
  • Work at the intersection of graph theory, machine learning, and domain-specific knowledge
  • Collaborate with Data Science and Engineering to transition research findings into production
  • Publish and present findings that advance both the field and System's mission
  • Partner with clinical and domain experts to ground research in real-world impact
  • Contribute to a culture of intellectual rigor, curiosity, and continuous learning
The ideal candidate has:
  • Master's or PhD in Computer Science, Statistics, Biomedical Informatics, or a related field
  • A strong publication record or equivalent applied research experience
  • Deep expertise in machine learning, statistical modeling, or computational methods
  • Experience working with complex, heterogeneous, or graph-structured data
  • Ability to communicate research findings clearly to both technical and non-technical audiences
  • Comfort operating in a fast-paced startup environment alongside a long research horizon
Bonus if you have:
  • Experience with clinical NLP, EHR data, or healthcare ontologies (SNOMED, ICD, OMOP)
  • Familiarity with knowledge graphs, semantic web technologies, or ontology engineering
  • Background in causal inference, systems dynamics, or complex adaptive systems
  • Experience collaborating with clinicians, policymakers, or public health researchers
You might be a fit if you:
  • Think in systems - mapping feedback loops, interdependencies, and second-order effects comes naturally to you
  • Are motivated by purpose-driven work, particularly at the intersection of technology and healthcare
  • Believe technology should be a force for good and are drawn to the Public Benefit Corporation model
  • Hold yourself and your work to a values-first standard, not just a deliverables-first one
  • Lead with first principles and are comfortable questioning assumptions others take for granted
  • See complexity as an invitation, not an obstacle - you thrive when problems are messy and interconnected
  • Care about the downstream effects of what you build - on users, on systems, on society
  • Operate with intellectual humility - always learning, always open to being wrong

Compensation:

Commensurate with experience and level. 

About System 

We aspire to help the world see itself differently and build a more responsible and values-driven model of a tech company. We are backed by top-tier VCs in Silicon Valley and New York and leading angel investors and founded by the former VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read our blog here.

We believe in the power of autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data.  We believe in cultivating a growth mindset for our team - always learning, improving, being challenged, and having opportunities for professional and personal development.

System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Job applicants must be legally authorized to work in the United States of America and must maintain ongoing work authorization during employment.

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