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Data Science Entry Jobs in Illinois (NOW HIRING)

PRISM Vision Group

Temporary Data Entry

Orland Park, IL · On-site

$16 - $20/hr

... to advance the science, technology, and quality of care. We are pleased to announce the ... Perform data entry tasks & verify accuracy of said data * Prepare various reports * Gather ...

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University of Utah

Data Entry Clerks

Campus, IL

$15/hr

One year of data entry, data operations, or related technical experience or equivalent coursework (e.g., information systems, analytics, computer science, business analytics) * Proficiency with data ...

University of Utah

Data Entry Clerks

Campus, IL

$15/hr

One year of data entry, data operations, or related technical experience or equivalent coursework (e.g., information systems, analytics, computer science, business analytics) * Proficiency with data ...

University of Utah

Data Entry Clerks

Campus, IL · On-site

$15/hr

One year of data entry, data operations, or related technical experience or equivalent coursework (e.g., information systems, analytics, computer science, business analytics) * Proficiency with data ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

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 ...

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How much do data science entry jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data science entry in Illinois is $18.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.20 per hour, depending on experience, location, and employer.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically serve as starting points for careers in data science and may require relevant internships, coursework, or certifications.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is it possible to get a data science entry-level job with no experience?

Data science entry-level positions often require some foundational skills in programming, statistics, and data analysis, but many employers consider candidates with relevant coursework, certifications, or personal projects even without formal work experience. Building a portfolio with projects using tools like Python, R, or SQL can improve chances of securing such roles. Internships and apprenticeships also provide pathways for those new to the field.
Data Science Entry jobs near you
Infographic showing various Data Science Entry 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 $39,250 per year, or $18.9 per hour.

Data Science Analyst -TCOM

University of Chicago

Chicago, IL • On-site

Full-time

Re-posted 25 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

160th of 617 rated colleges and universities

Job description

Job Summary:
The University of Chicago is dedicated to transforming mental health through innovative care and research. They are seeking a Data Science Analyst to provide technical assistance for online training systems, analyze data from various sources, and support learners effectively.
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.
Qualifications:
Required:
• Minimum requirements include a college or university degree in related field.
• Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
• Resume/CV (required)
• Cover Letter (required)
Preferred:
• Experience with Learning Management Systems.
• Knowledge of Learning Management Systems and Zendesk.
• 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.
Company:
University of Chicago is a world-renowned, private research university located in Chicago. Founded in 1890, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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