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Data Science Music Jobs (NOW HIRING)

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 ...

Manage data collection for data-driven audio processing approaches * Evaluate state of the art ... MS or PhD in Electrical Engineering, Computer Science, Music Technology, or related field

Data Incident Analyst

Cupertino, CA · On-site

$181K - $318K/yr

Do you thrive working with data engineers, data scientists and project managers in an agile ... as App Analytics, Apple Music for Artists, Podcast Connect Analytics. You will help find ...

Music, media, or entertainment industry experience is a plus but not required. Bachelor's degree in business, Computer Science, Data Science, Mathematics, Economics, or a related analytical field.

LA Kings - Sr. Data Analyst

El Segundo, CA · On-site

$91K - $115K/yr

... marquee music brands, integrated entertainment districts, premier ticketing platform and global ... Manage the end-to-end data science lifecycle from model design, development, deployment ...

LA Kings - Sr. Data Analyst

El Segundo, CA · On-site

$91K - $115K/yr

... marquee music brands, integrated entertainment districts, premier ticketing platform and global ... Manage the end-to-end data science lifecycle from model design, development, deployment ...

LA Kings - Sr. Data Analyst

El Segundo, CA · On-site

$91K - $115K/yr

... marquee music brands, integrated entertainment districts, premier ticketing platform and global ... Manage the end-to-end data science lifecycle from model design, development, deployment ...

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

Applied ML Science Manager

Cupertino, CA · On-site

$198K - $342K/yr

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

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

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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 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.
Faculty Position - Department of Epidemiology and Cancer Control, Data Science

Faculty Position - Department of Epidemiology and Cancer Control, Data Science

St. Jude Children's Research Hospital

Memphis, TN • On-site

$57K - $57K/yr

Full-time

Posted 6 days ago


St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

62nd of 995 rated hospitals


Job description

SJCRH
The Department of Epidemiology and Cancer Control at St. Jude Children's Research Hospital is recruiting an innovative data scientist to join our multidisciplinary team advancing research in childhood cancer survivorship as a Faculty Member at the FULL, ASSOCIATE, or ASSISTANT level. We are looking for a scholar to apply state-of-the-art computational methods to extract insights from high-dimensional, multimodal health data and develop predictive and integrative models that transform survivorship care.
Our Department's mission is to conduct cutting-edge clinical, biological, and population-health research, and translate findings into effective strategies to avert or mitigate cancer-treatment-related complications and improve the quality of life of childhood cancer survivors. We are seeking a creative and collaborative data scientist to lead a vibrant research program at the intersection of data science and clinical/biological sciences.
We actively collaborate across Cancer Center Programs, engaging with both clinic- and laboratory-based researchers to advance clinical care and knowledge of childhood cancer and associated late effects. Our research leverages diverse and complex data streams, including:
  • Time-series and cross-sectional sensor data from wearable devices
  • Image and video-based phenotyping for functional assessments
  • Multi-omics (whole genome/whole exome sequencing, RNA-seq, methylation, proteomics/metabolomics, CHIP) and biomarker profiles from biological samples
  • Physiological signals such as EKG
  • Longitudinal clinical, functional, and behavioral assessments
  • Usability evaluation
  • Geographical and spatiotemporal data on environmental and socioeconomic context

Ideal expertise/experience includes:
  • Advanced machine learning (deep learning, representation learning, probabilistic modeling)
  • Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech-derived phenotypes
  • AI-driven approaches for multimodal data integration and predictive analytics
  • Computational pipelines for large-scale biomedical datasets
  • Interest in causal inference, risk stratification, and precision medicine
  • Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature engineering)
  • Experience applying pretrained foundation models or self-supervised learning approaches to biomedical data
  • AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research

Our department is home to both the Childhood Cancer Survivor Study with over 38,000 childhood cancer survivors diagnosed from 1970-1999 in North America, and the St. Jude Lifetime Cohort with over 6,000 clinically assessed childhood cancer survivors treated at St. Jude Children's Research Hospital since 1962. These foundational studies are funded by the National Cancer Institute (NCI) and are unparalleled resources for research, with comprehensive characterizations of cancer treatment exposures/doses.
Our department encompasses a strong T32 Postdoctoral program, >130 staff members who supports maintaining and expanding activities of the two cohort studies and many ongoing R01- equivalent projects which are built on the two cohort studies. Apply
Join us in the exciting, rewarding mission of improving lives of childhood cancer survivors through rigorous, cutting-edge research that has strong institutional support and commitment!
St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. We are the first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children and have been recognized with the highest possible ranking of "exceptional" in our two most recent five-year reviews by the NCI. Our mission is to advance research and cures for pediatric cancer, the number one cause of death by disease for U.S. children past infancy. St. Jude is a highly interactive environment offering its faculty a remarkable opportunity to perform cutting-edge independent and collaborative research while receiving long-term institutional support past start-up to facilitate innovation and discovery.
We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community. St. Jude is consistently ranked on Fortune Magazine's "100 Best Places to Work For" and is No. 9 on the 2018 Glassdoor "Best Place to Work" list for companies with 1,000 or more employees.
St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city at the historic American crossroads of music, trade, food, and culture. Mild winters and beautiful green outdoor spaces are part of the reasons why Forbes recently named Memphis the 4th happiest city in which to work. Cost of living and high quality of life are other attractions; in fact, Money magazine listed Memphis as one of the least expensive cities in which to raise a child. St. Jude facilities and salaries are highly competitive, and a generous start-up and benefit packages are included.
Learn more about us at www.stjude.org.
Successful applicants must hold a PhD or equivalent degree in the field of data science, have at least three years of relevant postgraduate experience, and have a proven track record of productivity.
How to Apply:
Interested applicants should submit a curriculum vitae AND a 2-3 page summary of research interests directly online.
More information:
Gregory T. Armstrong, MD, MSCE
Chair, Epidemiology and Cancer Control
St. Jude Children's Research Hospital
262 Danny Thomas Place, MS 735
Memphis, Tennessee, 38105
greg.armstrong@STJUDE.ORG
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.