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Data Science Music Jobs (NOW HIRING)

Statistics Interest Group

$85 - $110/hr

... music located in Appleton, Wisconsin invites applications for a tenure-track Assistant Professor of Data Science and Statistics to begin September 1, 2027. We seek candidates who will contribute to ...

Suno

Senior Data Scientist, Content + Social

New York, NY · On-site

$220K - $320K/yr

Collaborate closely with product, business, and music functions * Contribute to building strong data foundations as part of our awesome data science team What You'll Need * 5+ years experience in ...

Apple

App Store Data Scientist

Cupertino, CA · On-site

$175K - $311K/yr

... 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 ...

Graphite

Data Scientist

New York, NY · On-site

$160/hr

Our culture centers on putting people first, applying science and craft, practicing disciplined ... Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can ...

AI Chopping Block

$150 - $210/hr

Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ... Contribute to building strong data foundations as part of our awesome data science team What You'll ...

Menlo Ventures

Data Scientist

Manhattan, NY · On-site

$160 - $200/hr

Our culture centers on putting people first, applying science and craft, practicing disciplined ... Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can ...

Universal Music Group

$90 - $120/hr

... Data Science, Mathematics, Economics, or a related analytical field. • Passion for music and curiosity about how fans discover and engage with artists. • Strong analytical mindset with the ...

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Data Science Music information

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$17.5K

$107.2K

$204.5K

How much do data science music jobs pay per year?

As of Sep 6, 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 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.

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.

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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?

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What states have the most Data Science Music jobs?

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Data Science Music jobs near you
Infographic showing various Data Science Music 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $107,176 per year, or $51.5 per hour.

Assistant Professor, Data Science and Statistics

Statistics Interest Group

On-site

$85 - $110/hr

Other

Posted 7 days ago

Job description

Lawrence University – Assistant Professor, Data Science and Statistics Company Name Lawrence University Position Title Assistant Professor, Data Science and Statistics Company Information

Lawrence University of Wisconsin, a selective undergraduate liberal arts college and conservatory of music located in Appleton, Wisconsin invites applications for a tenure-track Assistant Professor of Data Science and Statistics to begin September 1, 2027.

We seek candidates who will contribute to our growing program, which includes a new Data Science and Statistics major. Candidates must have a Ph.D. in statistics, biostatistics, data science, or a closely related field prior to the time of appointment (9/1/2027); ABD is acceptable for selection. Candidates should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, and expect to participate in Lawrence’s flagship First Year Studies program on rotation. The First Year Studies curriculum presents an interdisciplinary introduction to the liberal arts intended to support new students’ fundamental skills as readers, writers, and thinkers.

Duties and Responsibilities

Primary duties include: teaching two undergraduate courses in each of Lawrence’s three ten-week terms, grading, advising and mentoring students; conducting research; leading occasional tutorials, supervising independent study projects and internships; assisting in curricular planning; and related departmental and institutional service.

Position Qualifications

The successful candidate will be the third statistics and data science faculty member in the Department of Mathematics, Statistics, and Computer Science. Additional information about our curriculum and faculty can be found at https://www.lawrence.edu/academics/college/data-science-and-statistics.

Candidates should submit the following: (1) a cover letter describing their interest in this position, (2) a curriculum vitae, (3) a statement of teaching explaining their pedagogical methods and teaching experiences, (4) a statement describing their scholarly activities, interests, and future plans, (5) names and email addresses for three references who can be contacted for letters of recommendation at a later stage in the process (at least one of whom can attest specifically to teaching).

In their teaching statement, candidates are encouraged to discuss their experiences and ideas for teaching courses involving data analysis and computational tools. Candidates should also discuss how they will foster an inclusive and supportive learning environment for all students. In their scholarship statement, candidates are encouraged to discuss their experiences or ideas for incorporating undergraduate students in their research.
Candidates are encouraged to read more about Lawrence at https://lawrence.peopleadmin.com as well as www.lawrence.edu and Colleges That Change Lives.

We will begin reviewing applications on October 2, 2026. For further information, please contact Andrew Sage, the chair of the search committee (sagea@lawrence.edu).

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