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Data Science Music Jobs (NOW HIRING)

Melotech

Data Science, Music & Audio

New York, NY · On-site

What you will do Join us as our first dedicated Data Scientist to bring order to the chaos of ... music, video or social media What makes this exciting You are one of the first employees of an ...

Spotify

Data Scientist - Music Mission

... Music Mission team. This role focuses on driving analytical functions and improving models for ... Required : • 4+ years of experience in a data science role • Degree in data science, statistics ...

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 ...

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 ...

Apple

App Store Data Scientist

Cupertino, CA · On-site

... Data Science & Analytics for Apple Services to support transaction and subscription businesses across App Store, Apple Music, Apple TV+, Apple Arcade, Apple One, and other services! Description You ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA

$120K - $165K/yr

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

... music in spatial audio, world-class workouts and meditations, super fun games and more! The Apple Media Products Data Science & Analytics organization is passionate about developing discerning ...

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All JobsData Science Music Jobs

Data Science Music information

See salary details

$17.5K

$107.2K

$204.5K

How much do data science music jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science music in the United States is $107,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Data Science Music job?

A Data Science Music job involves applying data analysis, machine learning, and statistical techniques to the music industry. Professionals in this field work with streaming data, listener preferences, audio analysis, and recommendation systems to enhance user experiences and optimize business strategies. They may collaborate with music platforms, record labels, or artists to analyze trends, predict hits, and improve content discovery. This role requires proficiency in programming, data visualization, and a deep understanding of both music and data science.

What are the key skills and qualifications needed to thrive in the Data Science Music position, and why are they important?

To thrive in Data Science Music, you need a strong background in statistics, machine learning, and audio signal processing, typically supported by a relevant degree in data science, computer science, or music technology. Familiarity with tools such as Python, R, TensorFlow, and specialized audio analysis libraries (like librosa), as well as experience with music databases and recommendation systems, is essential. Creativity, problem-solving skills, and effective collaboration are valuable soft skills in this interdisciplinary field. These skills are crucial for building data-driven solutions that enhance music analysis, recommendation, and production in the rapidly evolving music industry.

What types of projects do Data Science Music professionals typically work on within a music technology company?

Data Science Music professionals commonly tackle projects such as developing music recommendation algorithms, analyzing trends in streaming data, building audio classification systems, and optimizing playlist curation tools. They may also work on tasks like genre or mood detection, user personalization features, and even acoustic fingerprinting for copyright protection. Collaboration is frequent, often working closely with software engineers, product managers, and musicologists to bring these solutions to life. These projects contribute directly to improving user experience and innovation in digital music platforms, offering a dynamic and intellectually stimulating work environment.

More about Data Science Music jobs
What cities are hiring for Data Science Music jobs? Cities with the most Data Science Music job openings:
What are the most commonly searched types of Data Science Music jobs? The most popular types of Data Science Music jobs are:
What states have the most Data Science Music jobs? States with the most job openings for Data Science Music jobs include:
What job categories do people searching Data Science Music jobs look for? The top searched job categories for Data Science Music jobs are:
Data Science Music jobs near you
Infographic showing various Data Science Music 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 $107,176 per year, or $51.5 per hour.

Data Science, Music & Audio

Melotech

New York, NY • On-site

Full-time

Posted 28 days ago

Job description

Who we are
Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.
Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as 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 tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterize an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:
  • Discovering and exploiting new, untapped data sources through creative scraping techniques
  • Building data processing pipelines from scratch to handle raw, unstructured data
  • Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
  • Spinning up EC2 instances for real-time data collection and automated scraping operations
  • Prototyping and deploying ML models on AWS for real-time predictions and content analysis
  • Creating custom dashboards and reports to communicate insights to leadership
  • Analyzing trends, audience behavior, and performance metrics to guide business decisions

Who you are
We look for battle-tested data scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You're someone who doesn't just build models, you solve complex business problems by finding creative ways to access hard-to-reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:
  • Degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
  • 3+ years of hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
  • Expert-level Python proficiency with standard data science and ML frameworks
  • Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs
  • Extensive hands-on experience with agentic coding tools and LLMs for data workflows
  • Production model deployment experience including infrastructure and monitoring
  • Advanced data visualization skills using standard libraries or Tableau
  • Strong collaboration skills across engineering, product, and business teams
  • You thrive in a fast-paced and performance-oriented environment
  • Colleagues would describe you as hard-working, ambitious and persistent
  • You're obsessed with music, video or social media

What makes this exciting
You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate.
We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together.
What the process will look like
We hire on a rolling basis. Earliest starting date is always ASAP.
Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:
  1. Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
  2. Initial interview: 30-minute introductory call - getting to know you
  3. Take-home case study: Real-world project - showcase your skills and working style
  4. Case interview: 90-minute case discussion - present and debate your results with a team member
  5. Founder interview: 90-minute interview with our CEO - going deep on all topics
  6. Team interview: Individual or group interview with other team members - depending on position
  7. Offer, contract signing and onboarding

Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.

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