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Internship Spotify Data Science Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

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Internship Spotify Data Science information

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How much do internship spotify data science jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship spotify data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Spotify Data Science vs Data Analyst Intern at Spotify?

AspectInternship Spotify Data ScienceData Analyst Intern at Spotify
Required CredentialsCurrently pursuing or recent graduate in Data Science, Statistics, or related fieldsSimilar educational background, often with focus on analytics or business intelligence
Work EnvironmentHands-on data modeling, machine learning, and algorithm development within a tech companyData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech industry, music streaming, data-driven product developmentMusic streaming, marketing, and user engagement analysis

Internship Spotify Data Science focuses on developing models and algorithms, while Data Analyst Intern roles emphasize analyzing and visualizing data to inform business strategies. Both roles require similar educational backgrounds and are integral to Spotify's data-driven approach, but they differ in technical depth and project focus.

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Infographic showing various Internship 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, with an average salary of $46,809 per year, or $22.5 per hour.

Data Scientist, Finance Data & Insights

Spotify

Manhattan, NY • On-site

$117 - $167/hr

Other

Medical, Retirement, PTO

Posted 10 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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