At Warner Music Group, we're a global collective of music makers and music lovers, tech innovators ... Bachelor's degree in computer science, engineering, data science, business analytics, a related ...
At Warner Music Group, we're a global collective of music makers and music lovers, tech innovators ... Bachelor's degree in computer science, engineering, data science, business analytics, a related ...
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Data Science Music information
See salary details
$17.5K - $34.5K
11% of jobs
$50.1K is the 25th percentile. Wages below this are outliers.
$34.5K - $51.5K
16% of jobs
$51.5K - $68.5K
9% of jobs
$68.5K - $85.5K
8% of jobs
The median wage is $98.9K / yr.
$85.5K - $102.5K
7% of jobs
$102.5K - $119.5K
9% of jobs
$119.5K - $136.5K
9% of jobs
$145.5K is the 75th percentile. Wages above this are outliers.
$136.5K - $153.5K
8% of jobs
$153.5K - $170.5K
8% of jobs
$170.5K - $187.5K
8% of jobs
$187.5K - $204.5K
4% of jobs
$17.5K
$107.2K
$204.5K
How much do data science music jobs pay per year?
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.

Full-time
Posted 8 days ago
Job description
At Warner Music Group, we're a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses:
Curiosity: We do our best work when we're immersing ourselves in culture and breaking through barriers. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future.
Collaboration: Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build connections across our diverse community of artists, songwriters, partners, and fans.
Commitment: We pursue excellence for our team and our talent. Everything in music starts with a leap into the unknown, and we're committed to keeping the faith, acting with integrity, and delivering on our promises.
WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences.
Consider a career at WMG and get the best of both worlds - an innovative global music company that retains the creative spirit of a nimble independent.
Key Responsibilities:
Collaborating with internal teams and external partners, maintain and improve standardized reporting templates that form the backbone of Warner Chappell's market intelligence.
Source and maintain available analytics data on partners and competitors.
Complete construction of accounting data pipelines and finalize a single, granular source of financial truth for Warner Chappell's digital business around the world.
Maintain, improve, and create analytics dashboards to highlight key trends and summarize performance for senior executives.
Source, clean, and summarize data for ad hoc requests from the digital licensing team that occur during the course of license negotiations.
Experience:
Bachelor's degree in computer science, engineering, data science, business analytics, a related quantitative field, or equivalent demonstrable experience.
2+ years of demonstrated success building clear data views from diverse, unstructured sources, preferably at an enterprise-level company.
1+ years working at a music company is preferred.
Hard skills
Expertise in data warehousing and data pipelines (advanced SQL, schema and table structuring, ELT/ETL, data validation, etc.) is a must.
Data transformation experience via Python, R, Java, etc. is preferred.
Experience visualizing data and creating dashboards via Tableau, Looker, PowerBI, Domo, etc. is preferred.
Familiarity with data science techniques (linear and logistic regression, iterative model building, k-fold cross validation) is a plus.
Excel familiarity is a plus.
Soft skills
Willingness to engage with data "beyond the numbers": constant inclination to gut-check outputs, search for insights, and understand implications for partner platforms, Warner Chappell, and the broader music-tech ecosystem.
Interest in proactively identifying recurring processes as automation opportunities.
Comfortable communicating with technical and non-technical stakeholders in cross-functional environments.
As the home to 10K Projects, Asylum, Atlantic Music Group, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world's premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalog of more than one million copyrights worldwide. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.
Together, we are Warner Music Group: Independent Minds. Major Sound.
Love this job and want to apply?
Click the "Apply" link at the top of the page, or apply directly with your LinkedIn. Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter.
Don't be discouraged if you don't hear from us right away. We're taking our time to review all resumes, and to find the best people for WMG.
Thanks for your interest in working for WMG. We love it here, and think you will, too.
Warner Music Group is an Equal Opportunity Employer.
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