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Entry Level Data Science Jobs in Chicago, IL (NOW HIRING)

Trilon

Entry Level Engineer

Aurora, IL · On-site

... scientists and project managers. You'll draft reports, assist with specifications and make ... You will work with clients to obtain data or share information. We promote a team environment, so ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

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All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Chicago, IL

Entry Level Data Science information

See Chicago, IL salary details

$10

$19

$27

How much do entry level data science jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level data science in Chicago, IL is $19.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $22.02 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Chicago, IL? The most popular types of Data Science jobs in Chicago, IL are:
What are popular job titles related to Entry Level Data Science jobs in Chicago, IL? For Entry Level Data Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Chicago, IL look for? The top searched job categories for Entry Level Data Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Entry Level Data Science jobs? Cities near Chicago, IL with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $40,824 per year, or $19.6 per hour.

Entry-Level Recruitment Office Assistant

Hire Frontier

Chicago, IL • Remote

$60K - $65K/yr

Full-time

Re-posted 6 hours ago

Job description


Entry-Level Recruitment Office Assistant

Location: On-Site

Job Type: Part-Time (~6 hours/day, flexible)

Compensation: $19/hour

Job Summary

HireFrontier is hiring a dependable Entry-Level Recruitment Office Assistant to support daily administrative and recruiting operations. Great for students, recent grads, or anyone looking to gain office experience in a professional recruiting environment — Business, HR, and Computer Science majors especially encouraged to apply.

Responsibilities

●      Respond promptly to candidate and client emails and inquiries

●      Answer and route incoming calls professionally

●      Assist scheduling interviews and updating candidate records

●      Handle general clerical duties: filing, data entry, document prep

●      Prepare recruitment and onboarding paperwork

●      Maintain accurate records and assist with database updates

●      Support the team with additional admin tasks as needed

Preferred Experience

●      Prior admin, office support, customer service, or receptionist experience

●      Familiarity with ATS, Microsoft Office, or CRM software

●      Data entry and general office procedure experience

●      Strong overall computer proficiency

Qualifications

●      Strong computer skills and quick to learn new systems

●      Excellent verbal/written communication and phone manner

●      Customer-service mindset

●      Detail-oriented and organized

●      Reliable, punctual, positive work ethic

●      Able to manage multiple tasks and deadlines

●      Adaptable in a fast-paced recruiting environment

●      Team-oriented and eager to learn