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

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

New

IBM

Associate Data Scientist 2027 - AI & Data Analytics

Chicago, IL · On-site

$60K - $61K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Your role and responsibilities As an Associate Data Scientist, you will help solve business ...

New

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 ...

RSM

Data Analytics Associate

Chicago, IL · On-site

The Data Analytics Associate develops and analyzes data requirements, integrates large data sets ... RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ...

Gotion Inc.

Data Analyst

Manteno, IL · On-site

This is an exciting opportunity for students or entry level candidates who are passionate about ... Collaborate with data scientists and engineers to support ongoing projects. * Assist in developing ...

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

Entry Level Data Scientist information

See Chicago, IL salary details

$47.4K

$170.1K

$251K

How much do entry level data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level data scientist in Chicago, IL is $170,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,600.00 and $175,300.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
More about Entry Level Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Chicago, IL?

The most popular types of Data Scientist jobs in Chicago, IL are:

What are popular job titles related to Entry Level Data Scientist jobs in Chicago, IL?

For Entry Level Data Scientist jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist jobs in Chicago, IL look for?

The top searched job categories for Entry Level Data Scientist jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Data Scientist jobs?

Cities near Chicago, IL with the most Entry Level Data Scientist job openings:

Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in Chicago, IL 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 $170,127 per year, or $81.8 per hour.

[Active Hring] Entry-Level Data Scientist at KEYENCE CORPORATION Itasca, IL

CDL Labor Logistics

Itasca, IL • On-site

$66 - $103.28/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Entry-Level Data Scientist at KEYENCE CORPORATION. Location: Itasca, IL.

Join KEYENCE as an Entry-Level Data Scientist. Location: Keyence U.S. Headquarters – Itasca, IL. Total Compensation (Base + Bonus): $103,283. As a Data Scientist, you’ll be part of the Data Science arm of the Data Analytics and Governance team, helping to drive innovation and efficiency across the business. You’ll develop automation solutions, optimize infrastructure, and build analytical models that inform strategy and uncover new opportunities.

  • Optimize and manage relational databases
  • Maintain and enhance AWS cloud infrastructure
  • Develop automation solutions for complex business challenges
  • Build and deploy analytical models using DataIku
  • Support additional projects and initiatives as assigned
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Informatics, Statistics, Math, or related field
  • 1–2 years of experience in data science or advanced analytics
  • Experience with AWS cloud infrastructure
  • Proficiency in SQL, Python or R
  • Experience with machine learning model development and optimization
  • Strong organizational skills and attention to detail
  • Self‑motivated with a proactive approach to learning
  • Familiarity with Linux troubleshooting, Scala, HTML, Java, Tableau, SSH, and VPCs is a plus
What We Offer
  • Base Salary: $66,650
  • Bonus Target: $36,633 annually (performance‑based), paid quarterly
  • Benefits: Medical, dental, vision, 401K match, ~4 weeks PTO in first full year
  • Career Growth: Promote‑from‑within culture with base and bonus increases
Why KEYENCE?
  • Recognized by Forbes as one of the World’s Most Innovative Companies
  • A global leader in factory automation and quality assurance solutions
  • Operating profit of over 40% for 25 consecutive years
  • A culture that invests in your success from day one

KEYENCE is an at‑will, Equal Opportunity Employer.

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