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Research Scientist Computer Science Jobs in Illinois

DeepRec.ai

Chief Research Scientist

Mundelein, IL · On-site

Chief Research Scientist - Industrial AI 📍 East Bay, California | Hybrid We're partnering with a major global technology organisation to appoint a Chief Research Scientist , focused on identifying ...

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Research Scientist Computer Science information

See Illinois salary details

$48.9K

$126.1K

$168.6K

How much do research scientist computer science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for research scientist computer science in Illinois is $126,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $167,600.00 per year, depending on experience, location, and employer.

What does a research scientist in computer science do?

A Research Scientist in Computer Science explores new theories, models, and technologies to advance the field. They conduct experiments, analyze data, and publish findings in scientific journals or conferences. Their work often involves collaborating with other researchers, developing prototypes, and contributing to innovations in areas like artificial intelligence, machine learning, cybersecurity, or data science. The goal is to solve complex problems and push the boundaries of what computers and algorithms can achieve.

What are the key skills and qualifications needed to thrive as a research scientist in computer science?

To thrive as a Research Scientist in Computer Science, you need advanced knowledge of algorithms, data structures, and computational theory, typically supported by a Ph.D. or relevant graduate degree. Proficiency with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems is essential, and experience with machine learning frameworks or high-performance computing can be advantageous. Critical thinking, creativity, and effective communication are vital soft skills for formulating innovative research questions and collaborating across multidisciplinary teams. These skills enable the development of pioneering solutions, clear dissemination of findings, and significant contributions to the advancement of technology.

How does a research scientist in computer science typically collaborate with other professionals on interdisciplinary projects?

Research Scientists in Computer Science often work closely with experts from diverse fields such as data science, engineering, healthcare, or social sciences, depending on the project's focus. Collaboration usually involves joint problem-solving, sharing domain-specific knowledge, and integrating different methodologies to address complex research questions. Communication skills are crucial, as scientists must translate technical concepts for non-technical stakeholders and ensure all team members are aligned on goals and deliverables. Regular meetings, shared documentation, and collaborative software tools are commonly used to facilitate effective teamwork.

What is the difference between Research Scientist Computer Science vs Data Scientist?

AspectResearch Scientist Computer ScienceData Scientist
Required CredentialsAdvanced degrees in CS or related fields, research experienceDegree in CS, statistics, or related fields; data analysis certifications
Work EnvironmentResearch labs, academia, R&D departmentsCorporate offices, tech companies, analytics firms
Employer & Industry UsageUniversities, research institutions, tech companiesBusiness, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding research roles in CSData analysis and application roles

Research Scientist Computer Science focuses on advancing knowledge through research, often in academic or R&D settings, requiring strong research credentials. Data Scientist emphasizes analyzing and interpreting data to inform business decisions, typically in industry settings. While both roles require technical skills, their work environments and objectives differ significantly.

What are popular job titles related to Research Scientist Computer Science jobs in Illinois?

For Research Scientist Computer Science jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Research Scientist Computer Science jobs in Illinois look for?

The top searched job categories for Research Scientist Computer Science jobs in Illinois are:

Research Scientist Computer Science jobs near you
Infographic showing various Research Scientist Computer Science job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $126,086 per year, or $60.6 per hour.

Computer Vision Scientist

Redfish Recruiting

Northbrook, IL • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

Computer Vision Scientist
Chicago, IL
Our Client is seeking a talented computer vision expert who is passionate about using their skills to help reshape the gaming industry of tomorrow. The ideal candidate should have deep hands-on knowledge of traditional computer vision and deep learning to design and build AI platforms and products.
Responsibilities
-Work collaboratively with product and engineering teams to turn Computer Vision concepts into valuable products
-Research & develop state of the art vision algorithms
-Design, architecture, & develop our Client's AI platform & devices
Qualifications
-M.S. or Ph.D. in computer science, or related disciplines.
-Strong analytical, problem-solving, and critical thinking skills
-Highly self-motivated and passionate with assigned projects, and a self-starter and taking a full ownership with responsibilities
-3+ years algorithm research / development experience in the areas of computer vision, machine learning, and related fields with proven track records, such as strong publications, published demos or software applications
-Expertise with traditional CV approaches (e.g., OpenCV), Classification, detection, and segmentation approaches
-Ability to implement related academic literature in computer vision and deep learning
-Strong knowledge of deep learning frameworks like Tensorflow, Pytorch, Caffe, Yolo etc.
-Experience building, testing, and deploying computer vision based solutions
-Expertise with Python and/or C/C++, Linux, Cloud, Git
-Excellent verbal and written communication skills
-Excel under high pressure with time critical projects
-Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs is a plus
Perks
-Flexible working hours
-H-1B Sponsorship

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