2

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

Entry Level Engineer

Champaign, IL ยท 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 ...

On-Site Experience Level: Entry Level Job Type: Seasonal Waypoint Analytical has been a trusted ... Learn to operate and maintain scientific equipment/instrumentation * Document activities and report ...

Staff Engineer

Champaign, IL ยท On-site

$70K - $85K/yr

... the typical entry-level experience. Over six months, participants take part in a hands-on ... adjust and correlate data, recognize discrepancies in results, and follow standard office ...

... the typical entry-level experience. Over six months, participants take part in a hands-on ... Apply standard practices and techniques in specific situations, adjust and correlate data ...

... data entry and accounting for all laboratory testing. - Conduct scale and weight checks ... PREFERRED QUALIFICATIONS: - Classes in general laboratory science and chemistry would be helpful ...

Entry Level Data Science information

See Champaign, IL salary details

$10

$19

$26

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

As of Jul 29, 2026, the average hourly pay for entry level data science in Champaign, IL is $19.08, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.44 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 Champaign, IL? The most popular types of Data Science jobs in Champaign, IL are:
What job categories do people searching Entry Level Data Science jobs in Champaign, IL look for? The top searched job categories for Entry Level Data Science jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Entry Level Data Science jobs? Cities near Champaign, IL with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Champaign, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,687 per year, or $19.1 per hour.
Data Scientist/Data Engineer - Junior (Remote)

Data Scientist/Data Engineer - Junior (Remote)

SynergisticIT

Champaign, IL โ€ข On-site

Other

Posted 6 days ago


Job description

Your Resume Isnโ€™t the Problem โ€” Your Positioning Is No Interviews or no Offers Isnโ€™t for a Lack of Experience. Itโ€™s for the Lack of a relevant Updated Tech stack! Most job seekers blame their resume when they donโ€™t get interviews, but the real issue is positioning. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT helps you build that profile through handsโ€‘on training, real projects, and personalized interview coaching. The program also markets your resume directly to Fortune 500 companies ensuring your profile reaches real decisionโ€‘makers. Whether youโ€™re a recent graduate, someone with a career gap, or a laidโ€‘off developer, We help you present yourself as a strong, capable candidate. When youโ€™re positioned correctly, opportunities open up. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”and thatโ€™s the most frustrating stage to be in. Youโ€™ve already proven youโ€™re employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates donโ€™t fail because theyโ€™re โ€œnot smart.โ€ They fail because they prepared the wrong wayโ€”watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticITโ€™s approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from โ€œalmostโ€ to โ€œoffer,โ€ with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, AutoZone, Deloitte, Bank of America, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the โ€œend-to-endโ€ thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: please read our blogs ยท Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ ยท Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If youโ€™re tired of being โ€œfinal roundโ€ without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.