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Entry Level Data Scientist Jobs in South Elgin, IL

SynergisticIT

Data Analyst - Entry Level

Chicago, IL · On-site

... for entry-level software programmers, Java Full stack developers, Python/Java developers, Data ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

SynergisticIT

Entry Level Web Programmer

Chicago, IL · On-site

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

SynergisticIT

Data Analyst

Carol Stream, IL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

SynergisticIT

data analyst

Chicago, IL · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. Who Should Apply Recent IT graduates looking to make their ...

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Entry Level Data Scientist information

See South Elgin, IL salary details

$44.6K

$159.8K

$235.9K

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

As of May 28, 2026, the average yearly pay for entry level data scientist in South Elgin, IL is $159,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $164,700.00 per year, depending on experience, location, and employer.

What Does an Entry Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

How to get a data science job with no experience?

Entry level data scientist roles often require strong foundational skills in programming (Python or R), statistics, and data manipulation. Gaining experience through online courses, personal projects, internships, or certifications like those from Coursera or edX can improve your chances; building a portfolio with real-world datasets is also beneficial.

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.

More about Entry Level Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in South Elgin, IL? The most popular types of Data Scientist jobs in South Elgin, IL are:
What cities near South Elgin, IL are hiring for Entry Level Data Scientist jobs? Cities near South Elgin, 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 South Elgin, IL as of May 2026, with employment types broken down into 2% As Needed, 94% Full Time, 3% Part Time, and 1% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $159,841 per year, or $76.8 per hour.
Entry level software developer/Data engineer

Entry level software developer/Data engineer

SynergisticIT

Chicago, IL • On-site

$118K - $141.80K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

"From Another Industry to Tech: Convert Your Experience Into a Tech Offer."
Breaking into tech from another industry can feel intimidating-until you realize you already have advantages many entry-level candidates don't. If you're coming from business operations, finance, healthcare, education, QA, customer support, project management, logistics, or even sales, you've likely built skills that translate well into tech teams: problem solving, stakeholder communication, process thinking, and real-world accountability. What you may be missing is structured technical depth and an interview-ready portfolio. That's where SynergisticIT's JOPP comes in: it's designed to help you bridge from "capable professional" to "hire-ready engineer or data professional."
Since 2010, SynergisticIT has supported thousands of candidates into full-time roles with major employers such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, and more-often at $95k to $154k depending on role and stack. JOPP is built around one goal: close the gap between what tech employers expect and what jobseekers typically have after self-study or training-only bootcamps.
What roles can career switchers target?
SynergisticIT typically supports candidates targeting roles like entry-level software programmer, Java full stack developer, Python/Java developer, DevOps engineer, data analyst, BI analyst, data engineer, data scientist, and machine learning/AI engineer-based on client needs. The program's focus areas are clear: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI.
Why "learning" isn't enough when switching careers
Most career switchers try to piece together skills from Udemy/Coursera, free tutorials, and quick bootcamps. That can build familiarity-but employers hire for job-ready depth. You need:
  • Strong fundamentals (programming + data concepts)
  • Real projects (not tutorials)
  • A clear role narrative ("I'm targeting X with Y stack")
  • Interview preparation and repetition
  • A plan for getting interviews, not just learning skills
SynergisticIT sees many candidates arrive after trying other paths. In fact, it often notes that about 30% of JOPP candidates have already tried bootcamps, online courses, or university bootcamps and didn't secure jobs-because those options focused on learning but not the job-search execution and readiness.
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT
Wage-Based H-1B Filing
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
How JOPP helps convert your background into a tech story
If you come from business, you can present "domain + tech" as a strength. If you come from QA or project roles, you already understand how software teams operate. JOPP helps you fill technical gaps while shaping a profile that resonates with employers. This includes structured projects, tool exposure, interview readiness, and placement support.
International candidates and documentation support
For F1/OPT candidates, employment timelines matter. SynergisticIT provides guidance around STEM extension and process support related to H-1B and Green Card filing once employed (as applicable through employers).
Want ROI context?
ROI Blog: https://www.synergisticit.com/roi-of-job-placement-program/
If you want to explore the program directly, here are the key links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact Us: https://www.synergisticit.com/contact-us/
You don't have to start over-you just have to start with the right roadmap.

Apply