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

This full-time, on-site position offers a fantastic opportunity for entry-level candidates to dive into the dynamic world of data science and contribute to pioneering projects within the computer ...

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 ...

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 ...

... 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 ...

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 ...

Entry Level Building Performance Analyst Firm Overview Do more than just build! At dbHMS, we are a ... scientific principles and: * Analyzing building performance data and identify opportunities for ...

Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field ... Solid understanding of data structures, algorithms, and problem-solving fundamentals. * Interest in ...

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Entry Level Data Science information

See Aurora, IL salary details

$10

$19

$26

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

As of Jul 30, 2026, the average hourly pay for entry level data science in Aurora, IL is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.35 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 Aurora, IL? The most popular types of Data Science jobs in Aurora, IL are:
What are popular job titles related to Entry Level Data Science jobs in Aurora, IL? For Entry Level Data Science jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Aurora, IL look for? The top searched job categories for Entry Level Data Science jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Entry Level Data Science jobs? Cities near Aurora, IL with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Aurora, IL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,581 per year, or $19 per hour.

Data Scientist

Benda Infotech

Chicago, IL

$70K - $100K/yr

Full-time

Posted 5 days ago


Job description

Description

Benda Infotech is looking for a passionate Data Scientist to join our innovative team in Chicago. This full-time, on-site position offers a fantastic opportunity for entry-level candidates to dive into the dynamic world of data science and contribute to pioneering projects within the computer software and engineering industry.

As a Data Scientist, you will assist in analyzing complex data sets and delivering actionable insights that drive data-driven decision-making. Your role will involve collaborating closely with cross-functional teams to develop and implement algorithms and models that enhance our services and products.

We offer a competitive salary range of $70,000 - $100,000 annually, along with a supportive work environment that fosters professional growth and development.

Responsibilities
  • Analyze large datasets to extract meaningful insights
  • Develop and implement machine learning models
  • Collaborate with stakeholders to understand business needs
  • Visualize data to communicate findings effectively
  • Perform data cleaning and preprocessing tasks
  • Stay updated on industry trends and best practices
  • Assist in creating reports and presentations for various audiences
  • Participate in team meetings and brainstorming sessions
Requirements
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
  • Familiarity with programming languages such as Python or R
  • Basic understanding of machine learning algorithms and statistics
  • Proficiency in data visualization tools (e.g., Tableau, Matplotlib)
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities
  • Ability to learn quickly and adapt to new technologies
  • A passion for data and a desire to grow within the field