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Spotify Data Science Jobs in New York (NOW HIRING)

Spotify

Data Scientist - Music Mission

New York, NY · On-site +1

$116K - $167K/yr

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

Spotify

Data Scientist - Music Mission

New York, NY

$116K - $167K/yr

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

Spotify AB

Data Scientist, Music Mission

Manhattan, NY · On-site

$117 - $167/hr

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

Melotech

Data Science, Music & Audio

New York, NY · On-site

... Spotify, Blackstone and KKR. What you will do Join us as our first dedicated Data Scientist to ... bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to ...

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Spotify Data Science information

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$25.7K

$127.8K

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How much do spotify data science jobs pay per year?

As of Aug 29, 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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,764 per year, or $61.4 per hour.

Data Scientist, Finance Data & Insights

Manhattan, NY • On-site

Spotify
See more jobs at Spotifyexternal

$117 - $167/hr

Other

Medical, Retirement, PTO

Posted 17 days ago

Job description

We are looking for a Data Scientist to join the Finance Data & Insights organization. You will support the Legal and Finance organizations through data analytics and ad-hoc reporting, while using your experience to improve data self-service capabilities and automation through AI tooling. You will also contribute to process automation and provide technical and data guidance to Legal and Finance partners.

What You’ll Do
  • Gain and apply a deep understanding of Spotify’s data ecosystem to support operational data requirements for legal requests
  • Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and maintain systems and processes that support Legal and Finance
  • Partner with engineering teams to gather requirements and generate outputs for technically complex matters
  • Work with large datasets to solve complex problems in a fast-paced and dynamic environment
  • Improve process efficiency through automation and the delivery of data pipelines that strengthen existing self-service reporting and analytics
  • Collaborate with highly motivated colleagues who are passionate about Spotify’s success
Who You Are
  • You have a passion for solving complex problems through data analysis, combined with strong business acumen and excellent communication skills
  • You can communicate effectively with both technical and non-technical teams to understand problems and articulate proposed solutions
  • You can draw meaningful conclusions from analysis and investigations that inform business decisions
  • You have experience validating datasets and outputs created by other teams or members of your team
  • You can identify opportunities to make processes more efficient and translate common workflows into feature requirements
  • You have 4+ years of experience in data analytics, including relevant experience with financial and/or legal data
  • You have a degree in information systems, computer science, finance, mathematics, or another quantitative discipline
  • You have experience performing analysis across large and complex datasets
  • You have strong SQL knowledge and experience using Claude Code, Codex, or other AI platforms for research, routines, and text-to-SQL capabilities
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.
  • We ask that you come in 2–3 times per week.

The United States base range for this position is $116,994–$167,135, 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, and paid sick leave.

These ranges may be modified in the future.

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