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Data Science Music Jobs (NOW HIRING)

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site

$94K - $158K/yr

We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them. General Summary Join TrainingPeaks as a Data Scientist and be at ...

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site +1

$94K - $158K/yr

We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them. General Summary Join TrainingPeaks as a Data Scientist and be at ...

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site

$94K - $158K/yr

We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them. General Summary Join TrainingPeaks as a Data Scientist and be at ...

Data Scientist

New York, NY ยท 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 ...

Data Scientist, Analytics

San Francisco, CA ยท On-site

$160K - $180K/yr

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of ... We believe games give us a way to have fun with our favorite people, whether listening to music ...

Data Analyst

Brooklyn, NY ยท Hybrid

$100K - $120K/yr

Our client, a technology company in the music and entertainment space, is seeking a Data Analyst to ... Bachelor's degree in Computer Science, Data Science, or similar

Video Content Data Scientist

Culver City, CA ยท On-site

$171K - $258K/yr

... 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 ...

... data science, machine learning or related quantitative field * 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc)

... data science, machine learning or related quantitative field * 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc)

These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books ... Do you thrive working with data engineers, data scientists and project managers in an agile ...

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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 Jun 9, 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:
Infographic showing various Data Science Music job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Temporary. Highlights an 100% In-person job distribution, with an average salary of $107,176 per year, or $51.5 per hour.
Data Scientist - TrainingPeaks

Data Scientist - TrainingPeaks

Peaksware

Louisville, CO โ€ข On-site

$94K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

Company Information

Join the Team Powering the World's Best Endurance Athletes

At TrainingPeaks, we believe that behind every great athlete is a great coach and the right technology to help them reach their potential. Our platform is trusted by Tour de France winners, Olympic gold medalists, and everyday endurance athletes to plan, track, and analyze their training. Whether you're a performance-driven athlete, a passionate coach, or someone who simply thrives on building tools that empower others, TrainingPeaks is where ambition meets impact.

As part of the Peaksware portfolio, consisting of brands like TrainingPeaks, MakeMusic, Alfred Music, TrainHeroic, weโ€™re united by a shared mission: to create software that transforms deliberate practice into performance. At Peaksware, we donโ€™t just build products. We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them.

General Summary

Join TrainingPeaks as a Data Scientist and be at the forefront of revolutionizing endurance coaching. You'll harness 30 years of rich athlete and coach data to build next-generation AI and machine learning tools that empower the worldโ€™s most elite performers. In this role, you wonโ€™t just analyze numbers, youโ€™ll lead high impact projects from ideation through production, partnering with engineers, product managers, and domain experts to bring game changing features to life.

If youโ€™re passionate about turning data into action, excited by complex, real-world problems, and eager to innovate in one of the most dynamic domains in sports technology, weโ€™d love for you to apply. This is your opportunity to help shape the future of training for athletes and coaches around the world.

Core Functions:

  • Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact.
  • Collaborate with cross-functional partners, such as product and engineering to design effective and safe Machine Learning and AI solutions.
  • Train and iterate on models, thinking critically about tradeoffs with model complexity and novelty.
  • Debug models when observability shows performance gaps, and iterate on models.
  • Work on cutting edge modeling technology and take the opportunity to rethink every element of the coach and athlete experience.
  • Interface with customers to understand their needs and gather feedback regarding our models and products.
  • Stay up-to-date with the latest trends in Machine Learning and applied AI practices.
  • Perform other duties as assigned.

Requirements

Required Qualifications:

  • 2+ years of experience as a Data Scientist or similar role.
  • Background in computer science, data science, statistics, applied mathematics, or similar technical fields.
  • Strong analytical thinking and problem-solving skills with a high attention to detail.
  • Experience with exploratory data analysis and model prototyping, using languages such as Python and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker.
  • Excellent written and verbal communication skills.
  • Ability to deal with ambiguity.

Degrees are not required and we value all forms of continued education including traditional four-year degrees, post-graduate degrees, associates degrees, bootcamps, online training, professional certifications, self-teaching and more.

Desired Qualifications:

  • M.S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar technical fields.
  • Experience with our products and an understanding of endurance sports.
  • Experience implementing machine learning algorithms in the cloud (AWS).
  • Familiarity with LLM concepts such as prompt engineering and evaluation frameworks

Benefits

โ€‹Compensation:

We are committed to fair and equitable compensation practices. The salary range for this role in Colorado is $94,874 - $158,124. Final compensation for this role will be determined by various factors such as a candidateโ€™s relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including bonus.

Benefits and Perks:

Health

  • We offer comprehensive health benefits including medical, dental, and vision insurance; health savings and flexible spending accounts, paid parental leave; and an employee assistance program.
  • Additional coverage options including Accident & Critical Illness insurance as well as Hospital Indemnity are also available.

Disability and Life

  • We offer several company paid options including Short Term Disability, Long Term Disability, as well as Basic Life Insurance and AD&D.
  • Additional coverage options including Employee-paid Supplemental Life Insurance for Employee, Spouse, and/or Child are also available.

Additional

  • We offer a 401(K) including a company match.
  • We observe 12 paid holidays annually and provide discretionary Flexible Time Off. Employees also receive free access to our products, corporate discounts, and professional development resources.
  • Access to the Performance and Recovery Center (PARC), our on-site fitness facility, as well as employee only access to on-site locker rooms and showers.
  • Employee only access to secure, indoor bike storage and access to e-bikes exclusively to Peaksware employees.
  • Access to our onsite Music and Podcast Studio.

If you require a reasonable accommodation to review our website or to apply online, please fill out our Candidate Accommodations Request Form.

Peaksware adheres to the FLSA Exemption Threshold for minimum wage in all states.

Work Environment

This job operates in a professional office environment that is well-lighted, heated, and/or air-conditioned with adequate ventilation and a noise level that is usually moderate. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.

All employees must comply with all safety policies, practices and procedures. Report all unsafe activities to your manager and/or Human Resources. #LI-Hybrid

Physical Demands

While performing the duties of this job, the employee is regularly required to sit and move about the facility; use hands to handle, or feel; talk by expressing ideas by means of the spoken word; and hear by perceiving the nature of sounds. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

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