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Applied Computer Science Jobs in Chicago, IL (NOW HIRING)

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 ...

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 ...

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 ...

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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Applied Computer Science information

See Chicago, IL salary details

$21K

$72.1K

$167.8K

How much do applied computer science jobs pay per year?

As of Jun 22, 2026, the average yearly pay for applied computer science in Chicago, IL is $72,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,596.00 and $99,049.00 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 Chicago, IL? The most popular types of Applied Computer Science jobs in Chicago, IL are:
Senior Applied Scientist - Shipper Pricing

Senior Applied Scientist - Shipper Pricing

Uber Freight

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Uber Freight rating

7.4

Company rating: 7.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #: 2537
About the Role
As a Sr. Applied Scientist on the Shipper Pricing team, you will apply machine learning, casual inference and optimization techniques to develop and improve Uber Freight's algorithms for real time bidding on shipper freight. You will have a direct impact on Uber Freight's key business metrics and the opportunity to heavily influence technical direction for this area. You will collaborate closely with Product, Operations, Engineering, and other scientists in the department on a daily basis.
What the Candidate Will Do
  • Develop creative algorithms for optimally trading off gross revenue and net revenue when bidding on shipper freight in real time across a variety of settings, e.g., open auctions, sealed auctions, reverse waterfall auctions, etc.
  • Prototype and evaluate solutions using statistical analysis and simulation.
  • Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these solutions.
  • Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors.
  • Establish standard methodologies for data science, including modeling, coding, analytics, and experimentation.
  • Communicate findings and insights to senior management and cross-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.

Basic Qualifications
  • Ph.D. or M.S. in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
  • 4+ years of experience in developing and deploying machine learning models and optimization algorithms in production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
  • Experience with designing, executing and analyzing experiments to measure the impact of changes to production ML models
  • Expertise in observational causal inference or statistical analysis
  • Proficiency in Python, SQL and Spark

Preferred Qualifications
  • Experience developing NN algorithms
  • Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
  • Experience leading complex technical projects and influencing the scope and output of others
  • Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
  • Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
  • Experience in reinforcement learning and causal machine learning

Benefits & Compensation for U.S. Employees
Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.
About Uber Freight
Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real-time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.
Candidate Privacy Notice
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
EEOC
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
For Chicago-based roles: The salary range for this role is $152,500.00 - $186,000.00 per year

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