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Evening Computer Science Training Jobs in Romeoville, IL

D. in Computer Science, BS in Computer Science. * 3-4 years of industry work experience. * Solid ... Experience with cloud services (AWS, Azure, GCP) for data storage, model training, and deployment.

Bachelors in Computer Science, Statistics or any related field with an applied quantitative and ... training that provides the required knowledge, skills, and abilities needed to complete the job ...

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Evening Computer Science Training information

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$57.6K

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How much do evening computer science training jobs pay per year?

As of Jul 11, 2026, the average yearly pay for evening computer science training in Romeoville, IL is $84,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $95,300.00 per year, depending on experience, location, and employer.
What cities near Romeoville, IL are hiring for Evening Computer Science Training jobs? Cities near Romeoville, IL with the most Evening Computer Science Training job openings:
Clinical Professor Open-rank - MS in Applied Data Science

Clinical Professor Open-rank - MS in Applied Data Science

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


University Of Chicago rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

162nd of 552 rated colleges and universities


Job description

Description
The Data Science Institute in the Physical Sciences Division at the University of Chicago invites applications for Clinical Professor (open-rank) to teach in its MS in Applied Data Science program. Appointments will be made as Assistant Clinical Professor, Associate Clinical Professor, or Full Clinical Professor, depending on qualifications. This full-time, benefits-eligible appointment is for an initial term of up to five years, with possibility of renewal. This is a teaching position with no research responsibilities and some administrative duties. The position is expected to begin in the 2026-2027 academic year.
The person holding this position must be able to teach at least two of the following courses: Statistical Models, Time Series, Big Data and Cloud Computing, Data Engineering, Leadership and Consulting for Data Science, Machine Learning and Artificial Intelligence, Human Computer Interaction, Quantum Computing, Swarm Intelligence, Advanced Computer Visualization, Natural Language Processing, or Bayesian Inference. An overview of the MS in Applied Data Science course offerings can be found at datascience.uchicago.edu/masters-programs. Depending on background and interests, the person holding this position may also be asked to teach other classes in the MS in Applied Data Science program.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Qualifications
Minimum Qualifications:
  • A PhD in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field, and at least 2 years of professional experience,
  • OR an MS/MBA with at least 5 years of professional experience in Data Science, Applied Math, Statistics, Computer Science Mathematics, or other closely related field.

Preferred qualifications:
  • Teaching experience either within a university (such as Adjunct, Lecturer, or Instructional Professor), or corporate training environment for professional education.
  • Experience teaching for an online program.

Application Instructions
To apply for this position, candidates must submit their application through the University of Chicago Jobs website: apply.interfolio.com/182491, and upload the following required documents:
  • A curriculum vitae;
  • A one to three-page teaching statement;
  • A list of contact information for three references;
  • Sample syllabus for a class you have taught before, or would be interested in teaching

Optional materials: teaching evaluations from past teaching at the university level.
Review of applications will begin on April 3, 2026, and continue until the position is filled.

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