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Computer Science Statistics Jobs in Illinois (NOW HIRING)

Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are ...

Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are ...

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business ...

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business ...

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business ...

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business ...

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business ...

Master's Degree and one year of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or a closely related quantitative field. Experience with ...

Instructor, Science Literacy

Campus, IL · Hybrid

$46.06 - $142.49/hr

A minimum MSc. in one of the science fields (astronomy, biology, chemistry, earth science, physics, computer science, statistics, data science or math); PhD preferred in one of the science fields ...

Postdoctoral Fellow

Campus, IL · On-site

$47K - $64K/yr

D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline. Education and Experience Preferred:

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

Showing results 41-60

Computer Science Statistics information

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

What are the most commonly searched types of Computer Science Statistics jobs in Illinois?

The most popular types of Computer Science Statistics jobs in Illinois are:

What job categories do people searching Computer Science Statistics jobs in Illinois look for?

The top searched job categories for Computer Science Statistics jobs in Illinois are:

What cities in Illinois are hiring for Computer Science Statistics jobs?

Cities in Illinois with the most Computer Science Statistics job openings:

Infographic showing various Computer Science Statistics job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Summer Research Assistant - Energy & Environment Lab (2026)

UChicago Inclusive Economy Lab

Chicago, IL • On-site

$19.75 - $27.25/hr

Full-time

Re-posted 23 days ago


Job description

Job Summary:
The University of Chicago Energy & Environment Lab is dedicated to improving environmental outcomes and energy access through rigorous research. They are seeking Summer Research Assistants to support large-scale environmental policy research projects, focusing on data analysis and methodological evaluation of energy and environmental interventions.
Responsibilities:
• Coding, review, and cleaning of data.
• Data analytics, statistical analysis, and building econometric and/or machine learning models.
• Project development and coordination.
• Literature reviews.
• Presentation of results of analysis (e.g., graphs and tables).
• Assisting in writing, formatting, and editing reports and works for publication and for dissemination to partners.
Qualifications:
Required:
• Interest in and aptitude for developing advanced programming and analytic skills.
• Experience with at least one statistical analysis language required; R, or Python strongly preferred.
• Strong verbal and written communication skills, with the ability to synthesize multiple sources.
• Strong initiative and a resourceful approach to problem-solving and learning.
• Ability to work both independently and as part of a team.
• High attention to detail and organizational skills.
• Significant progress towards an undergraduate or graduate degree in economics, computer science or related discipline.
• Coursework in economics, applied math, computer science, statistics.
• Resume
• Cover Letter
• Academic transcript(s)
Preferred:
• Knowledge of environment and/or energy policy issues preferred.
• Research experience in an academic setting preferred.
Company:
Founded in , the company is headquartered in Chicago, Illinois, US, , with a team of 11-50 employees. The company is currently Early Stage.