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Data Science Music Jobs in Chicago, IL (NOW HIRING)

Jobtailor

Data Engineering Intern

Niles, IL · On-site

$60 - $80/hr

In progress of completing a Bachelor's or master's degree in computer science, mathematics, digital ... Music Production Tools & Technologies * AWS * PostgreSQL * Snowflake #J-18808-Ljbffr

Shure

Data Engineering Intern

Niles, IL · On-site

$23 - $43/hr

The research science team seeks a motivated engineer to create, augment, and simulate audio data ... or music production. * Some experience and understanding of cloud-based services like AWS and ...

Shure

Data Engineering Intern

Niles, IL · Hybrid

$23 - $43/hr

The research science team seeks a motivated engineer to create, augment, and simulate audio data ... or music production. * Some experience and understanding of cloud-based services like AWS and ...

Shure

Data Engineering Intern

Niles, IL · Hybrid

$23 - $43/hr

The research science team seeks a motivated engineer to create, augment, and simulate audio data ... or music production. * Some experience and understanding of cloud-based services like AWS and ...

Shure

Data Engineering Intern

Niles, IL · Hybrid

$23 - $43/hr

The research science team seeks a motivated engineer to create, augment, and simulate audio data ... or music production. * Some experience and understanding of cloud-based services like AWS and ...

Shure

Global Product Management Data Intern

Niles, IL · On-site

Currently pursuing an undergraduate or graduate degree in Data Science, Business Analytics, Marketing, Engineering, Finance, Product Management, Audio Engineering, Music Technology, or a related ...

Shure

Global Product Management Data Intern

Niles, IL · On-site +1

Currently pursuing an undergraduate or graduate degree in Data Science, Business Analytics, Marketing, Engineering, Finance, Product Management, Audio Engineering, Music Technology, or a related ...

Shure

Global Product Management Data Intern

Niles, IL · On-site +1

Currently pursuing an undergraduate or graduate degree in Data Science, Business Analytics, Marketing, Engineering, Finance, Product Management, Audio Engineering, Music Technology, or a related ...

Shure

Global Product Management Data Intern

Niles, IL · On-site +1

Currently pursuing an undergraduate or graduate degree in Data Science, Business Analytics, Marketing, Engineering, Finance, Product Management, Audio Engineering, Music Technology, or a related ...

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All JobsData Science Music JobsData Science Music Jobs in Chicago, IL

Data Science Music information

See Chicago, IL salary details

$18K

$110K

$209.9K

How much do data science music jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science music in Chicago, IL is $110,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,321.00 and $158,068.00 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.

What are the most commonly searched types of Data Science Music jobs in Chicago, IL?

The most popular types of Data Science Music jobs in Chicago, IL are:

What are popular job titles related to Data Science Music jobs in Chicago, IL?

For Data Science Music jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Music jobs in Chicago, IL look for?

The top searched job categories for Data Science Music jobs in Chicago, IL are:

Data Science Music jobs near you
Infographic showing various Data Science Music job openings in Chicago, IL as of September 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $110,007 per year, or $52.9 per hour.

Data Engineering Intern

Niles, IL • On-site

Jobtailor
See more jobs at Jobtailorexternal

$60 - $80/hr

Other

Posted 4 days ago

Job description

Engineer software modules that provide data mechanisms to support research and prototyping of forward-leaning use cases in audio machine learning algorithms
Work closely with the data science and software engineering teams to help generate new footing for data platforms and pipelines within the current architecture
Create, augment, and simulate audio data
Participate in the creation and maintenance of scalable data infrastructure
Collaborate with research scientists conducting audio machine learning experiments

Requirements
  • In progress of completing a Bachelor's or master's degree in computer science, mathematics, digital signal processing, or related field
  • Coursework or experience in data engineering
  • Experience with programming languages such as Python
  • Understanding of relational databases and/or experience with database architectures like PostgreSQL or Snowflake
  • Applicable academic or professional experience in audio-related disciplines such as room acoustics, audio signal processing, microphone and mic array characteristics, psychoacoustics, or music production
  • Some experience and understanding of cloud-based services like AWS and related tools is a plus
  • Experience with simulating and testing audio systems with mathematical modelling languages such as Python or MATLAB is a plus
  • Creativity and curiosity for future technologies while having a strong core of fundamentals
  • Currently authorized to work in the United States on a full-time basis
  • Shure will not sponsor applicants for work visas
Core Competencies

Demonstrates expertise in audio machine learning algorithms and data engineering, with a strong foundation in programming languages such as Python and experience in database architectures like PostgreSQL. Capable of collaborating with cross-functional teams to develop scalable data infrastructure and simulate audio data for research purposes.

Highest-signal resume keywords
  • Audio Machine Learning Algorithms
  • Data Engineering
  • Python Programming
  • PostgreSQL Database Architecture
  • Cloud-Based Services (AWS)
Hard Skills
  • Audio Signal Processing
  • Mathematical Modelling (Python, MATLAB)
  • Data Infrastructure Maintenance
  • Database Architecture
  • Data Simulation
Soft Skills
  • Creativity
  • Curiosity
Industry Keywords
  • Digital Signal Processing
  • Room Acoustics
  • Microphone Characteristics
  • Psychoacoustics
  • Music Production
Tools & Technologies
  • AWS
  • PostgreSQL
  • Snowflake
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