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Computer Science Statistics Jobs in Illinois (NOW HIRING)

LSU AgCenter

Research Associate 3, 4, or 5

Energy, IL · On-site

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 ...

Meharry Medical College

Postdoctoral Fellow

Campus, IL

$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:

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

Hirose Electric USA

Data Scientist

Downers Grove, IL · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field (Master's preferred) * Strong analytical thinking with the ability to solve complex business problems ...

Hirose Electric USA

Data Scientist

Downers Grove, IL

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field (Master's preferred) * Strong analytical thinking with the ability to solve complex business problems ...

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Computer Science Statistics information

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

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 jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for 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 in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

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

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.

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 are popular job titles related to Computer Science Statistics jobs in Illinois? For Computer Science Statistics jobs in Illinois, the most frequently searched job titles 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:
Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
Research Associate 3, 4, or 5

Research Associate 3, 4, or 5

Louisiana State University

Energy, IL

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Research Associate 3, 4, or 5Position Type:Other AcademicDepartment:LSUAM ORED - Center for Energy Studies (Gregory Brian Upton Jr. (00009417))Work Location:1067 Energy, Coast, and Environment BuildingPay Grade:Job Description:

This position provides support for the Center for Energy Studies' data-driven research and analysis activities, combining experience in energy economics, statistical modeling, database management, and web application development. The Research Associate will manage energy databases from national and state database systems (SONRIS, EPA, EIA, etc.), conduct econometric analysis, develop interactive data visualizations and support web applications development and Act 727 implementation for state energy data dissemination. Responsibilities include statistical analysis of energy markets and infrastructure, database development and maintenance, support data-driven web application development, and contributing to research initiatives such as the Gulf Coast Energy Outlook and energy policy studies. The candidate will combine quantitative analytical skills with technical programming capabilities to support data-driven research and information systems.

Job Responsibilities:

Research Associate 3:

Under the instruction of a supervisor, work to design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Assist in build and optimizing database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

As instructed under the supervision of a supervisor: conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Help develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Support the development of interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Support research initiatives including Gulf Coast Energy Outlook, white papers, and policy studies. Conduct literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Work with supervisor to maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Master's degree in a related field or a bachelor's degree in a related field and two years of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or a closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

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 energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience. Professional certifications in data analytics or database management.

Research Associate 4

Partner with leadership to work to design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Assist in building and optimizing database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

Work with leadership to conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Help develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Support the development of interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Support research initiatives including Gulf Coast Energy Outlook, white papers, and policy studies. Conduct literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Work with leadership to maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Master's degree in a related field and two years of related experience or a bachelor's degree in a related field and four years of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Master's Degree and more than two years experience in Economics, Applied Economics, Data Science, Computer Science, or related quantitative field with strong programming emphasis.

Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience.

Professional certifications in data analytics or database management.

Research Associate 5

Design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Build and optimize database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

Conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Develop interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Lead research initiatives including Gulf Coast Energy Outlook, write papers, and policy studies. Lead literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Bachelor's degree and six years of related experience OR a master's degree and two years of related experience OR a terminal degree (Ph.D.) in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Ph.D in Economics, Applied Economics, Data Science, Computer Science, or related quantitative field with strong programming emphasis.

Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience. Professional certifications in data analytics or database management.

Additional Information:

Physical ability and eye-hand coordination necessary to use a computer terminal, copier, telephone, and other standard office equipment; ability to sit in the same position for extended periods (5.5+ hours a day) at a time using continuous hand motions when entering data into the computer system.

Additional Job Description:Special Instructions:Please provide a cover letter, resume, and three (3) professional references including name, title, phone number, and e-mail address.
Please attach ALL required documents under the "Resume/CV" section of your application.
A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required before hiring.
Due to the nature of the position and/or position responsibilities, this position shall be subject to pre-employment screenings in accordance with University Policy as required and RS:17 screenings (https://www.legis.la.gov/legis/Law.aspx?p=y&d=1297548).
For questions or concerns about updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu.
For questions or concerns regarding the status of your application or salary ranges, please contact Dr. Greg Upton at gupton3@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:June 22, 2026Closing Date (Open Until Filled if No Date Specified):October 21, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportuniti...

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