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Applied Computer Science Jobs in Illinois (NOW HIRING)

C3 AI

Data Scientist (Federal)

Virginia, IL · On-site

Bachelor's in computer science, Electrical Engineering, Statistics, Operations Research or equivalent fields. * Applied Machine Learning experience (regression and classification, supervised and ...

PayPal, Inc.

Senior Data Scientist

Chicago, IL · On-site

Master's degree, or foreign equivalent, in Computer Science, Engineering, Natural and Applied Science or a closely related field plus two years of experience in the job offered or a related ...

PayPal

Senior Data Scientist

Chicago, IL

Master's degree, or foreign equivalent, in Computer Science, Engineering, Natural and Applied Science or a closely related field plus two years of experience in the job offered or a related ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

... generation, and computer vision -- where they add value to operational workflows. * Combine ... A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

... generation, and computer vision -- where they add value to operational workflows. * Combine ... A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and ...

Inmar

Director, Data Science (MarTech)

Chicago, IL · On-site

Bachelors in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus required * Masters in quantitative and experimentation focused field preferred

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How much do applied computer science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for applied computer science in Illinois is $61,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,415.00 and $84,676.00 per year, depending on experience, location, and employer.

What is an Applied Computer Science job?

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.

Which CS has the highest salary?

In applied computer science roles, positions such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to their specialized skills and demand. These roles often require expertise in programming, statistics, and tools like Python, TensorFlow, or cloud platforms, and typically offer higher compensation compared to other computer science positions.

What are the key skills and qualifications needed to thrive in the Applied Computer Science position, and why are they important?

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 jobs can you get with applied computing?

Applied computer science prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, and network administrator. These jobs typically require skills in programming, data management, and problem-solving, often using tools like programming languages, databases, and operating systems.

What job makes $10,000 a month without a degree?

In applied computer science, roles such as freelance software developer, cybersecurity consultant, or cloud solutions architect can earn $10,000 or more per month without a formal degree, often requiring strong skills, certifications, and experience. These positions typically involve remote work, self-employment, or contract-based projects in high-demand areas like programming, security, or cloud computing.

What are some common career advancement opportunities for professionals 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.

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 Illinois? The most popular types of Applied Computer Science jobs in Illinois are:
What are popular job titles related to Applied Computer Science jobs in Illinois? For Applied Computer Science jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Applied Computer Science jobs in Illinois look for? The top searched job categories for Applied Computer Science jobs in Illinois are:
What cities in Illinois are hiring for Applied Computer Science jobs? Cities in Illinois with the most Applied Computer Science job openings:
Applied Computer Science jobs near you
Infographic showing various Applied Computer Science job openings in Illinois as of June 2026, with employment types broken down into 63% Full Time, 32% Part Time, and 5% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $61,623 per year, or $29.6 per hour.

Applied AI/ML - Senior Associate

JPMorganChase

Chicago, IL • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As an Applied AI/ML Senior Associate within the CIB Technology team, you will analyze business problems and develop machine learning and deep learning solutions while collaborating with various teams to build new systems.
Responsibilities:
• Assist product leadership in defining the problem statements, execution roadmap
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
• Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
• Collaborate to develop large-scale data modeling experiments, explain complex concepts to senior leaders and stakeholders.
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
Qualifications:
Required:
• BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics.
• 5+ years' experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.
• Experience with LLMs and Prompt Engineering techniques.
• 1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.
• Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models.
• Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
• Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
• Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
• Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player.
Preferred:
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals.
• Experience with A/B experimentation and data/metric-driven product development.
• Ability to develop and debug production-quality code and familiarity with continuous integration models and unit test development.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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