ZipRecruiter

Log In

1

Computer Science Associates Jobs in Illinois (NOW HIRING)

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Minimum of bachelor's degree or equivalent work experience in Data Science, Computer Science ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

Our science is your advantage. * Minimum of bachelor's degree or equivalent work experience in Data Science, Computer Science, Statistics, Physics, Engineering, or a related quantitative field.

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

Our science is your advantage. * Minimum of bachelor's degree or equivalent work experience in Data Science, Computer Science, Statistics, Physics, Engineering, or a related quantitative field.

84.51˚

Director Data Science (P2415)

Chicago, IL · On-site

... associates • Proficient in technology stack (Azure, Databricks, Python, Spark) • Experience ... in mathematics, statistics, computer science, economics, or similar discipline • Strong ...

next page

Showing results 1-20

All JobsComputer Science Associates JobsComputer Science Associates Jobs in Illinois

Computer Science Associates information

See Illinois salary details

$23.7K

$46.9K

$76.6K

How much do computer science associates jobs pay per year?

As of Jun 17, 2026, the average yearly pay for computer science associates in Illinois is $46,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $50,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science Associate, and why are they important?

To thrive as a Computer Science Associate, you need a solid understanding of programming languages, algorithms, and data structures, typically supported by an associate degree in computer science or a related field. Familiarity with software development tools, databases, and version control systems like Git is highly valuable. Strong problem-solving abilities, attention to detail, and effective teamwork are important soft skills for this role. These competencies enable Computer Science Associates to efficiently contribute to technical projects, collaborate with colleagues, and deliver reliable software solutions.

Is an associate's degree enough for an IT job?

For computer science associates, an associate's degree can qualify you for entry-level IT positions such as help desk technician or support specialist. However, many employers prefer candidates with additional certifications or experience for more advanced roles in IT. Practical skills, certifications like CompTIA A+ or Network+, and hands-on experience are often important for career advancement.

What are Computer Science Associates?

Computer Science Associates are professionals who typically hold an associate degree in computer science or a related field. They assist with tasks such as programming, troubleshooting, database management, and technical support in various industries. These roles are often entry-level positions that provide foundational experience and can lead to more advanced opportunities in the technology sector. Computer Science Associates work closely with IT teams and may also help maintain software and hardware systems. Their work is essential for ensuring the smooth operation of computer systems within an organization.

What is the difference between Computer Science Associates vs Software Developers?

AspectComputer Science AssociatesSoftware Developers
Required CredentialsAssociate's degree in Computer Science or related fieldBachelor's degree in Computer Science or related field
Work EnvironmentEntry-level roles in tech companies, IT departments, or support teamsDesign, develop, and maintain software applications across various industries
Employer & Industry UsageCommon in tech firms, government agencies, and corporate IT departmentsWidely employed in software firms, tech startups, and enterprise companies

Computer Science Associates typically hold an associate's degree and work in entry-level IT or support roles, while Software Developers usually have a bachelor's degree and focus on creating software solutions. Both roles are essential in the tech industry but differ in education level, responsibilities, and career progression.

Can I find a programming job with just an associate's degree in computer science?

Computer Science Associates can find entry-level programming jobs such as software developer or support roles, but many employers prefer candidates with a bachelor's degree or higher. Gaining practical skills through internships, certifications, or self-study in programming languages like Python or Java can improve job prospects. Some positions may require additional experience or specialized knowledge, but an associate's degree can serve as a foundation for starting a programming career.

How to make $80,000 a year without a degree?

Computer Science Associates can potentially earn $80,000 annually through roles such as software developer, network administrator, or cybersecurity analyst by gaining relevant skills, certifications, and experience. Many of these positions prioritize practical knowledge and technical proficiency over formal degrees, often requiring proficiency in programming languages, networking, or security tools.

What are some common challenges Computer Science Associates face when transitioning from academic projects to real-world industry work?

One common challenge for Computer Science Associates is adapting to the collaborative nature and scale of industry projects compared to individual or small-group academic assignments. In the workplace, code quality, documentation, and version control are emphasized, and associates often need to quickly learn company-specific tools and workflows. Balancing multiple projects simultaneously and effectively communicating technical ideas to non-technical stakeholders are also frequent hurdles. However, with mentorship and active participation in team meetings, associates can develop these professional skills and grow within their roles.

What can I do with an associate's degree in computer science?

Computer Science Associates can pursue roles such as software support specialist, network technician, or web developer. These positions often require knowledge of programming languages, operating systems, and basic cybersecurity practices, and may involve working in office or technical environments. Additional certifications can enhance job prospects and advancement opportunities.
What are popular job titles related to Computer Science Associates jobs in Illinois? For Computer Science Associates jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Computer Science Associates jobs in Illinois look for? The top searched job categories for Computer Science Associates jobs in Illinois are:
What cities in Illinois are hiring for Computer Science Associates jobs? Cities in Illinois with the most Computer Science Associates job openings:
Computer Science Associates jobs near you
Infographic showing various Computer Science Associates job openings in Illinois as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $46,892 per year, or $22.5 per hour.
Manager, Data Scientist - Credit Review

Manager, Data Scientist - Credit Review

Capital One

Riverwoods, IL • On-site

Full-time

Posted 24 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks

Job description

Manager, Data Scientist - Credit Review

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

In Capital One's Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can't prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners.

We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation.

Role Description

In this role, you will:

  • Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data

  • Build statistical and machine learning models to challenge the models in production

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

  • Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love

The Ideal Candidate is:

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

  • At least 1 year of experience leveraging open source programming languages for large scale data analysis

  • At least 1 year of experience working with machine learning

  • At least 1 year of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics

  • At least 4 years' experience in Python, Scala, or R for large scale data analysis

  • At least 4 years' experience with machine learning

  • At least 4 years' experience with predictive modeling

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Charlotte, NC: $179,400 - $204,700 for Mgr, Data Science


McLean, VA: $197,300 - $225,100 for Mgr, Data Science


Plano, TX: $179,400 - $204,700 for Mgr, Data Science


Richmond, VA: $179,400 - $204,700 for Mgr, Data Science


Riverwoods, IL: $179,400 - $204,700 for Mgr, Data Science







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply