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Computer Science Jobs in Round Lake, IL (NOW HIRING)

3B Staffing LLC

Data Scientist

Northbrook, IL · On-site

Minimum of bachelor's degree in Data Analytics, Data Science, Computer Science or any other related field of science. * 3-7 years of professional experience as a Data Scientist or in a similar role ...

New

3B Staffing LLC

Data Scientist

Northbrook, IL · On-site

Minimum of bachelor's degree in Data Analytics, Data Science, Computer Science or any other related field of science. * 3-7 years of professional experience as a Data Scientist or in a similar role ...

New

Stryker

Data Science Intern - Remote

Kenosha, WI · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Stryker

Data Science Intern - Remote

Kenosha, WI

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

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All JobsComputer Science JobsComputer Science Jobs in Round Lake, IL

Computer Science information

See Round Lake, IL salary details

$54.2K

$79.7K

$94K

How much do computer science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computer science in Round Lake, IL is $79,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $89,700.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.
More about Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Round Lake, IL?

The most popular types of Computer Science jobs in Round Lake, IL are:

What are popular job titles related to Computer Science jobs in Round Lake, IL?

For Computer Science jobs in Round Lake, IL, the most frequently searched job titles are:

What job categories do people searching Computer Science jobs in Round Lake, IL look for?

The top searched job categories for Computer Science jobs in Round Lake, IL are:

What cities near Round Lake, IL are hiring for Computer Science jobs?

Cities near Round Lake, IL with the most Computer Science job openings:

Computer Science jobs near you
Infographic showing various Computer Science job openings in Round Lake, IL as of August 2026, with employment types broken down into 45% Full Time, and 55% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $79,708 per year, or $38.3 per hour.

Data Scientist

3B Staffing LLC

Northbrook, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Responsibilities:

  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Doing ad-hoc analysis and presenting results in a clear manner.
  • Analyze large, complex datasets to extract insights and decide on the appropriate technique.
  • Selecting features, building, and optimizing classifiers using machine learning techniques.
  • Collaborate with stakeholders to understand their requirements, translate them into data-driven solutions, and communicate findings and recommendations effectively.
  • Data mining using state-of-the-art methods.
  • Extending customers data with third party sources of information when needed.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Use data modelling and evaluation strategy to find patterns and predict future trends, enabling proactive decision-making.

Qualifications

  • Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) and ability to communicate complex data insights effectively.
  • Demonstrated effective interpersonal, influencing, collaboration and listening skills.
  • Ability to articulate an idea with strong communication and presentation skills.
  • Work as part of a small team, sharing ideas and contributing to the strategic goals.
  • Experience in business service, manufacturing industry is a plus.

Projects:

  • Collaborate with business stakeholders and support reporting needs. This will involve using SQL, Python, Excel, and various reporting tools.
  • Partner with the IT team to assist in the implementation of new datalake.
  • Support data science initiatives by developing the necessary tools to meet project requirements.

Professional Education and Experience

  • Minimum of bachelor's degree in Data Analytics, Data Science, Computer Science or any other related field of science.
  • 3-7 years of professional experience as a Data Scientist or in a similar role, working with large data sets and complex analytical problems.
  • Strong problem-solving critical thinking, and analytical skills with an emphasis on product development.
  • Experience querying databases and using statistical computer languages.
  • Experience using statistical computer languages to manipulate data and draw insights from large data sets.
  • Experience with a variety of machine learning techniques and their real-world advantages/drawbacks.
  • Detailed knowledge of machine learning evaluation metrics and best practice.
  • Strong Python, R, SQL skills and problem-solving, good analytical & communication skills.
  • Experience of working in an Agile environment for applied research.
  • Knowledge of machine learning engineering end-to-end delivery process.
  • Programming Languages: Python, R, SQL(Advanced)
  • Statistics and Probability: Understanding of statistical methods and probability theory
  • Data Wrangling: Skills in cleaning and organizing data
  • Machine Learning: Experience with scikit-learn, TensorFlow, Keras or similar
  • Data Visualization: PowerBI or Tableau ( Good to Have)
  • Tools: Excel
  • Business Acumen: Ability to translate business problems into data science solutions
  • NLP and Deep learning Techniques

Apply