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Entry Level Data Scientist Jobs in Elgin, IL (NOW HIRING)

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

... Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

We are seeking a motivated Entry-Level Business Analyst to join our growing team. This is an ... Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related ...

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Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Scientist information

See Elgin, IL salary details

$45.5K

$163.1K

$240.7K

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

As of Aug 12, 2026, the average yearly pay for entry level data scientist in Elgin, IL is $163,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,000.00 per year, depending on experience, location, and employer.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate your skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve your chances of landing the role.

Can a data scientist be entry-level?

Yes, entry-level data scientist positions are available for candidates with limited professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically focus on learning and developing skills through on-the-job training or internships.

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 Elgin, IL? The most popular types of Data Scientist jobs in Elgin, IL are:
What job categories do people searching Entry Level Data Scientist jobs in Elgin, IL look for? The top searched job categories for Entry Level Data Scientist jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Entry Level Data Scientist jobs? Cities near Elgin, IL with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Elgin, IL as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $163,122 per year, or $78.4 per hour.

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 7 days ago


Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.