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Internship Spotify Data Science Jobs (NOW HIRING)

Spotify

Data Scientist - Music Mission

New York, NY · On-site

$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 ...

Athena LLC

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

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

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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 Jul 11, 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.

How much do Spotify interns get paid?

Spotify data science interns typically receive a stipend or hourly pay that varies by location and internship duration. Compensation can range from approximately $20 to $40 per hour, and internships often last 10 to 12 weeks, providing valuable experience with tools like Python and SQL in a collaborative environment.

How much do Spotify data scientists make?

Spotify data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Entry-level roles may start lower, while experienced data scientists with advanced skills in machine learning and data analysis can earn higher salaries, often supplemented with stock options and benefits.

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.

Which company is best for a data science internship?

For a data science internship, companies like Spotify offer roles such as Data Science Internships that provide experience with large datasets, machine learning, and analytics tools. The best company depends on your interests, skills, and career goals, but top tech firms and media companies are known for structured internship programs and mentorship opportunities.

How to become a data scientist at Spotify?

To become a data scientist at Spotify, candidates typically need a strong background in statistics, programming skills in languages like Python or R, and experience with data analysis, machine learning, and data visualization. A relevant degree such as computer science, data science, or a related field is often required, along with experience working with large datasets and analytical tools. Building a portfolio of projects and gaining experience through internships or related roles can improve chances of securing a position.
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What cities are hiring for Internship Spotify Data Science jobs? Cities with the most Internship 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 Internship Spotify Data Science jobs? States with the most job openings for Internship Spotify Data Science jobs include:
What job categories do people searching Internship Spotify Data Science jobs look for? The top searched job categories for Internship Spotify Data Science jobs are:
Internship Spotify Data Science jobs near you
Infographic showing various Internship 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, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Manager, Music Recommendations

Spotify

New York, NY • On-site

$144K - $206K/yr

Other

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

Spotify's mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world's most popular audio streaming subscription service with a community of more than 700 million users. We are looking for an extraordinary Data Science Manager to join our Content Insights group and build the next frontier of analytics to support the strategic decision making for our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences.
What You'll Do
  • Act as a key partner to leaders in Spotify's Music Vertical, with a focus on the Editorial function globally and recommendations of music content.
  • Manage a strong team of data scientists, aligning their expertise and professional growth with business needs via ongoing coaching and roadmap planning.
  • Conduct research yourself and craft compelling data storytelling to influence large investments at Spotify in the field of music recommendations
  • In particular, orient innovation at the intersection of human editorial and algorithmic recommendations in the age of AI.
  • Upskill the data science function in your area with agentic AI, and develop the next layer of self-serve access to insights for your stakeholders
  • Become a company-wide expert on music content and how it reaches listeners around the world.

Who You Are
  • 7+ years of relevant experience performing data analysis or data science. In particular...
    • You are highly proficient in Python and SQL
    • You are well versed in AI tools for data science and insights, such as Claude Code
    • You have an expertise in building data visualizations and dashboards (e.g. Looker Studio, Tableau or other)
    • You have experience with A/B testing and statistical modeling
  • Experience managing a team is preferred. The role is opened to first time managers who have a proven experience mentoring others, leading large collaborative projects and coordinating with senior leaders.
  • You are a confident communicator with acute design thinking, who can simplifie complex problems and ground creative discussions in objective data. You have experience presenting to and influencing senior leadership.
  • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is désirable
  • You are passionate about music. Previous experience in creative industries is a preference, but not a hard requirement if you have a deep empathy for how the music art form is created and enjoyed

Where You'll Be
This role is based in New York, 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 $144,715 - $206,735, 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. 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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