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Computer Scientist Jobs in Decatur, IL (NOW HIRING)

Data Scientist About Us: At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Digital Analyst Internships

Clintonia, IL

$93K - $110K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Technical Support Desk

Sullivan, IL · On-site

$20 - $23/hr

Degree in Computer Science or equivalent experience preferred * Strong troubleshooting and problem-solving skills * Excellent communication and customer service skills * Comfortable learning new ...

New

... computer science. Calculus coursework appropriate for a physical science major is required as a prerequisite or corequisite for atmospheric dynamics and thermodynamics, physics, and differential ...

Lab Technician

Decatur, IL · On-site

$20/hr

Strong computer skills * Experience with lab instruments and operations * Ability to work on multiple tasks at a time * Lift up to 40 lbs. We encourage candidates who are passionate about scientific ...

Lab Technician

Decatur, IL · On-site

$18/hr

Strong computer skills * Experience with lab instruments and operations * Ability to work on multiple tasks at a time * Lift up to 40 lbs. We encourage candidates who are passionate about scientific ...

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Computer Scientist information

See Decatur, IL salary details

$49K

$108K

$133.4K

How much do computer scientist jobs pay per year?

As of Aug 1, 2026, the average yearly pay for computer scientist in Decatur, IL is $107,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $132,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer Scientist, you need a strong background in mathematics, programming, and algorithm design, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, C++), development tools, and version control systems is typically required, along with knowledge of specialized software or frameworks relevant to your area. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help you collaborate and present complex ideas clearly. These skills and qualifications are important for developing innovative solutions, advancing technology, and working efficiently in multidisciplinary teams.

What are the jobs of a computer scientist?

A computer scientist designs, develops, and analyzes algorithms, software, and systems to solve complex problems. They often work in research, software development, data analysis, and cybersecurity, utilizing programming languages and computational theory. Their work may involve creating new technologies or improving existing ones, often requiring strong analytical and problem-solving skills.

What are computer scientists?

Computer scientists are professionals who study the theory, design, development, and application of computer systems and software. They work on solving complex problems using algorithms, programming languages, and computational methods. Their work can range from developing new technologies, improving cybersecurity, creating software, to researching artificial intelligence and machine learning. Computer scientists are employed in various industries, including tech companies, research institutions, government agencies, and academia.

What Does a Computer Scientist Do?

Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.

What would a computer scientist do?

A computer scientist researches, develops, and applies algorithms, software, and systems to solve complex problems. They may work on programming, data analysis, artificial intelligence, or cybersecurity, often using programming languages and tools to create innovative solutions. Their work can involve designing software, analyzing data, or improving computing processes.

How do computer scientists typically collaborate with other departments within an organization?

Computer scientists often work closely with teams from engineering, product management, data analytics, and IT to design, implement, and optimize technological solutions. Collaboration may involve participating in cross-functional meetings, providing technical expertise to inform business decisions, and integrating software systems with other platforms. Effective communication and teamwork are key, as computer scientists must translate complex technical concepts into actionable insights for non-technical colleagues. This collaborative environment not only broadens your professional network but also enhances your problem-solving skills through exposure to diverse perspectives.

What jobs can you do with computer science?

A computer scientist can work in roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or research scientist. These jobs often require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems. Many positions are available in technology companies, research institutions, and various industries that rely on computing solutions.

Is computer science dead due to AI?

Computer scientists develop and improve AI technologies, making their role essential as AI advances. The field continues to evolve, requiring skills in algorithms, programming, and data analysis to address new challenges and applications.

What is the difference between Computer Scientist vs Software Engineer?

AspectComputer ScientistSoftware Engineer
Required CredentialsBachelor's or higher in CS or related field; often advanced degreesBachelor's or higher in CS, Software Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, software development firms, IT departments
Employer & Industry UsageUniversities, research institutions, tech companiesSoftware development companies, startups, large corporations
Common Search & Comparison IntentUnderstanding roles, career paths, and skillsJob requirements, responsibilities, and career growth

Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

What cities near Decatur, IL are hiring for Computer Scientist jobs? Cities near Decatur, IL with the most Computer Scientist job openings:
Infographic showing various Computer Scientist job openings in Decatur, IL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $107,999 per year, or $51.9 per hour.

Full-time

Re-posted 29 days ago


Job description

Data Scientist 

 

About Us: 

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.


Role Summary 

The on-site technical presence during the pilot and Wave 1. Works directly with the customer's

maintenance team to validate alerts, tune models, and build trust in the platform's outputs.

This role requires someone who can explain machine learning predictions in maintenance

engineering language, not data science jargon.


Responsibilities 

Discovery & Baseline (Weeks 1-2)

  • Conduct the BMS protocol audit alongside the customer's controls engineer - identify available tags, data quality, polling rates, historian configuration
  • Extract and analyze the 30-day historian pull - identify operating modes, load patterns, seasonal variations, and data gaps
  • Build the baseline operating profile for each monitored equipment unit
  • Review the customer's maintenance logs - identify the 3-5 known fault events that will serve as ground truth validation
  • Map the customer's equipment taxonomy to NEIO's equipment family catalog - confirm coverage, flag gaps

Model Tuning & Validation (Weeks 3-5)

  • Monitor live anomaly scores and triage the first alerts - determine true positive vs. false positive vs. ambiguous
  • Facilitate the alert review sessions with the site maintenance lead - present alerts in context, gather feedback, document site-specific operating knowledge that affects interpretation
  • Tune the physics constraint gate to the site's operating ranges - adjust thermodynamic bounds, load-dependent thresholds, equipment-specific parameters
  • Calibrate fault classification confidence thresholds - Platt scaling, ECE measurement, reliability diagram review
  • Validate time-to-failure estimates against known maintenance history
  • Document all tuning decisions and rationale - this becomes the playbook for fleet rollout

Phase 2 (Wave 1 Sites)

  • Travel to Wave 1 sites for the 1-week discovery phase at each site
  • Conduct on-site tag mapping review with each site's controls engineer
  • Facilitate the alert review session at each Wave 1 site
  • Train the offshore Data Scientist on site-specific tuning decisions so they can handle
  • Wave 2 remotely

 

 

Expected Background 

  • 5+ years in applied data science or machine learning - predictive maintenance, anomaly detection, or industrial process optimization
  • Strong understanding of time-series analysis, classification models (XGBoost, LightGBM), and calibration techniques
  • Ability to explain model behavior to non-technical maintenance engineers - "the model flagged this because superheat is trending 3 degrees above normal for this load condition" not "the feature importance vector shows..."
  • Comfortable working on-site at a data center or industrial facility
  • Experience with HVAC, mechanical, or electrical systems is a strong advantage - someone who knows what a chiller does, what COP means, why approach temperature matters
Employment Type: FULL_TIME