1

Data Science Analytics Jobs in Illinois (NOW HIRING)

Senior Scientist Data Science

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bring a strong scientific lens to every analysis by ensuring methods are not only technically sound ... Data Transformation and Feature Engineering * Work across complex, multi-source datasets spanning ...

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... Experience developing production methodologies rather than exploratory analyses, and designing ...

Sr P&C Data Scientist

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience

Lead AI and Data Science Engineer II

Chicago, IL · On-site

$105K - $139K/yr

Analytics & Data Science * Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to ...

Data Scientist, Consultant (Utilities)

Chicago, IL

$89K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do * Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake, SQL ...

Lead Data Science Analyst

Riverwoods, IL

$105K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leads the development and implementation of advanced analytics including customer segmentation ... Modeling/Data Science or related Bonus Points If You Have * Masters Analytics, Engineering ...

Data Science Developer

Chicago, IL · On-site

  • Medical

  • Retirement

  • PTO

Data Science Developer, Chicago, IL We are seeking a talented Data Science Developer candidate to ... Responsibilities: - Develop processes to collect and analyze data for automated trading systems ...

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 ...

Data Science Platform Developer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

P rovide oversight and hands-on support for the development of analytic solutions using languages ... O wn data science requirements and tracking , working to identify strategies and opportunities to ...

Data Science Platform Developer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Provide oversight and hands-on support for the development of analytic solutions using languages ... Own data science requirements and tracking, working to identify strategies and opportunities to ...

Showing results 41-60

Data Science Analytics information

See Illinois salary details

$23

$53

$91

How much do data science analytics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data science analytics in Illinois is $53.05, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What are the most commonly searched types of Data Science Analytics jobs in Illinois?

The most popular types of Data Science Analytics jobs in Illinois are:

What job categories do people searching Data Science Analytics jobs in Illinois look for?

The top searched job categories for Data Science Analytics jobs in Illinois are:

Infographic showing various Data Science Analytics job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,346 per year, or $53.1 per hour.

$24.04 - $31.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities


Job description

Department

BSD PSY - Lyons Lab


About the Department

To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.


Job Summary

The Data Science Analyst provides technical assistance to help learners access and navigate online training systems. The Specialist serves as the liaison between end-users and the learning platform. Under direct supervision, this job performs a broad range of operational activities, which may include collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling.

Responsibilities

  • Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.

  • Provide clear, compassionate, and timely support to learners through phone and email.

  • Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider's support desk.

  • Collaborate with the LMS provider's support team to identify, report, and help resolve technical issues.

  • Track and share patterns or recurring concerns that may indicate broader system issues.

  • Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.

  • Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.

  • Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.

  • May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.

  • Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.

  • Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.

  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.


Certifications:

---

Preferred Qualifications

Experience:

  • Learning Management Systems.

Technical Skills or Knowledge:

  • Knowledge Learning Management Systems and Zendesk.

Preferred Competencies

  • Strong communication skills with the ability to explain technical information in clear and supportive ways.

  • Patience, empathy, and commitment to learner success.

  • Detail-oriented and organized, with the ability to manage multiple requests efficiently.

  • Comfort with technology and ability to learn new learning management systems.

  • Excellent communication and coaching abilities.

  • Proficiency with Microsoft Office 365 and LMS platforms.

  • Organizational skills.

  • Verbal and written communication skills.

  • Work independently and as part of a multidisciplinary team.

Application Documents

  • Resume/CV (required)

  • Cover Letter (required)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Research


Role Impact

Individual Contributor


Scheduled Weekly Hours

40


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Hourly


FLSA Status

Non-Exempt


Pay Range

$24.04 - $31.25

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

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.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


What University Of Chicago employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom