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Applied Computer Science Jobs in Chicago, IL (NOW HIRING)

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor's degree in a ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Passion for continuous learning and innovation in applied data science. EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related fields required, PhD preferred ...

Caterpillar Brazil

Data Scientist

Chicago, IL · On-site

$98 - $158/hr

... applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework* Proven experience using: + Python for data analysis and modeling ...

Caterpillar

Data Scientist

Chicago, IL · On-site

... applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework * Proven experience using: * Python for data analysis and modeling ...

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Applied Computer Science information

See Chicago, IL salary details

$21K

$72.1K

$167.8K

How much do applied computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for applied computer science in Chicago, IL is $72,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,596.00 and $99,049.00 per year, depending on experience, location, and employer.

What is applied computer science?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

What are the key skills and qualifications needed for applied computer science?

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What are common career advancement opportunities in applied computer science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

Are applied computer science majors still in demand?

Applied computer science majors are in high demand due to the growth of technology industries, data analysis, cybersecurity, and software development. Skills in programming languages, algorithms, and systems design increase employability across various sectors, with many roles requiring practical experience and certifications.

What are 5 careers in applied computer science?

Applied computer science offers careers such as software developer, data analyst, cybersecurity analyst, systems engineer, and machine learning engineer. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What can you do with an applied computer science degree?

An applied computer science degree prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or network administrator. Graduates can work in technology companies, finance, healthcare, or government agencies, often utilizing programming languages, data management, and problem-solving skills to develop and maintain computer systems and applications.

What are the most commonly searched types of Applied Computer Science jobs in Chicago, IL?

The most popular types of Applied Computer Science jobs in Chicago, IL are:

What are popular job titles related to Applied Computer Science jobs in Chicago, IL?

For Applied Computer Science jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Applied Computer Science jobs in Chicago, IL look for?

The top searched job categories for Applied Computer Science jobs in Chicago, IL are:

Applied Computer Science jobs near you
Infographic showing various Applied Computer Science job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $72,083 per year, or $34.7 per hour.

Senior Instructional Professor (open rank) in Data Science

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 25 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

167th of 621 rated colleges and universities

Job description

Description
The Data Science Institute at the University of Chicago invites applications for the position of Senior Instructional Professor (open rank) to lead the Data Science Clinic. The Data Science Clinic is an experiential project-based course where students work in teams as data scientists with real-world clients from industry, academia, and social impact organizations. You can view more information about the DSI Clinic on our website here.
The candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, depending on qualifications and years of experience in a similar role. The appointment will be made in the Data Science Institute.
The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits. This position is expected to begin on or around December 1st, 2026.
Responsibilities include leading and teaching three quarters of the data science clinic courses as well as up to one additional course in data science. Additional responsibilities include hiring, evaluation, supervision, and mentoring of academic and staff appointees in the DSI Clinic program.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference.
We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science (codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab and Argonne National Laboratory.
Qualifications
Required:
  • A Ph.D. in a related field
  • At least two years of experience teaching in a college or university as an instructor of record

Preferred:
  • Training and professional experience in one or more of the following areas: data science, machine learning, artificial intelligence, databases, and applied statistics.
  • Experience in management of experiential learning academic programs and personnel
  • And 3 years of industry experience with demonstrated quantitative, analytic, data science, and/or AI experience.

Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/190212.
Review of applications will begin on October 1, 2026 and will continue until all positions are filled.
The following materials are required:
  • curriculum vitae
  • cover letter
  • A teaching statement including description of teaching philosophy, curricular development experience, and ability to interact with a diverse group of students
  • Evidence of successful management of programs (or evidence of potential to do so)
  • Evidence of teaching effectiveness (e.g., course evaluations, performance review, or other relevant assessments),
  • syllabi of courses previously designed and taught
  • three confidential letters of recommendation requested via Interfolio

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