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Entry Level Data Scientist Jobs in Romeoville, IL

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 ...

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 ...

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 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 ...

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering ...

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Entry Level Data Scientist information

See Romeoville, IL salary details

$46.9K

$168.3K

$248.3K

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

As of Jul 29, 2026, the average yearly pay for entry level data scientist in Romeoville, IL is $168,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,100.00 and $173,300.00 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 does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

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.

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 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.

What are the most commonly searched types of Data Scientist jobs in Romeoville, IL? The most popular types of Data Scientist jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Entry Level Data Scientist jobs? Cities near Romeoville, IL with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Romeoville, IL as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $168,254 per year, or $80.9 per hour.

Data Scientist

Benda Infotech

Chicago, IL

$70K - $100K/yr

Full-time

Posted 4 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