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Entry Level Data Science Jobs in Lake Forest, IL

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 ...

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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 ...

IBM

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Preferred Bachelor's degree in a related field (Computer Science, Data Science, Statistics, Math ...

IBM

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Preferred Bachelor's degree in a related field (Computer Science, Data Science, Statistics, Math ...

IBM

Data Engineer Intern 2027

Chicago, IL

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

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Entry Level Data Science information

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

As of Aug 19, 2026, the average hourly pay for entry level data science in Lake Forest, IL is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.20 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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Lake Forest, IL?

The most popular types of Data Science jobs in Lake Forest, IL are:

What are popular job titles related to Entry Level Data Science jobs in Lake Forest, IL?

For Entry Level Data Science jobs in Lake Forest, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Lake Forest, IL look for?

The top searched job categories for Entry Level Data Science jobs in Lake Forest, IL are:

What cities near Lake Forest, IL are hiring for Entry Level Data Science jobs?

Cities near Lake Forest, 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 Lake Forest, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $39,238 per year, or $18.9 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 4 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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