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

Benda Infotech

Junior Data Scientist

Chicago, IL

$70K - $100K/yr

This full-time, on-site position offers a fantastic opportunity for entry-level professionals eager ... Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field * Familiarity ...

New

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

Trilon Group

Entry Level Engineer

Aurora, IL · On-site

$70K - $75K/yr

... 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 ...

Lyric

Product Training Associate (Technical)

Chicago, IL · On-site

$80K - $90K/yr

This is an entry-level role for recent graduates with strong technical foundations and a passion ... Build technical training materials covering mathematical modeling, optimization, data science ...

Trilon

Entry Level Engineer

Aurora, IL

... 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 ...

New

Grayhill Inc.

Technical Systems Analyst

La Grange, IL · On-site

$65K - $111K/yr

Education and/or Experience Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field. Entry-level professional experience or internship ...

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

As of Jul 16, 2026, the average hourly pay for entry level data science in Naperville, IL is $18.89, 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.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist 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, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Naperville, IL? The most popular types of Data Science jobs in Naperville, IL are:
What are popular job titles related to Entry Level Data Science jobs in Naperville, IL? For Entry Level Data Science jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Naperville, IL look for? The top searched job categories for Entry Level Data Science jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Entry Level Data Science jobs? Cities near Naperville, 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 Naperville, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $39,289 per year, or $18.9 per hour.

Junior Data Scientist

Benda Infotech

Chicago, IL

$70K - $100K/yr

Full-time

Posted yesterday

New

Job description

Description

Benda Infotech is excited to welcome a Junior Data Scientist to our innovative team in Chicago. This full-time, on-site position offers a fantastic opportunity for entry-level professionals eager to dive into the world of data analysis and machine learning within the computer software and engineering industry.

As a Junior Data Scientist, you will play a crucial role in analyzing data trends, building predictive models, and supporting data-driven decision-making in the organization. You'll work closely with experienced data scientists and cross-functional teams, contributing to various projects that enhance our software products and client solutions. We offer a competitive salary range of $70,000 - $100,000 annually, along with comprehensive benefits and a nurturing environment for professional growth.

Responsibilities
  • Collect and preprocess data from various sources for analysis
  • Assist in building and validating predictive models
  • Analyze complex datasets to identify trends and insights
  • Create visualizations to communicate findings effectively
  • Collaborate with team members to develop data strategies
  • Participate in the design of data-driven experiments
  • Support the implementation of machine learning algorithms
  • Contribute to team presentations and reports based on data analysis
Requirements
  • Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field
  • Familiarity with statistical analysis and machine learning concepts
  • Proficiency in programming languages such as Python or R
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Strong analytical and problem-solving skills
  • Ability to communicate complex data findings clearly
  • Willingness to learn and adapt in a fast-paced environment
  • Experience with SQL and database management is a plus