Data Scientists
Campus, IL · On-site
Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...
Data Scientists
Campus, IL · On-site
Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...
Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...
Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...
Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...
Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Glen Carbon, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Glen Carbon, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Belleville, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Belleville, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Fairview Heights, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Fairview Heights, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
East Carondelet, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
East Carondelet, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Lovejoy, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Lovejoy, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Collinsville, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Collinsville, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Dupo, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Dupo, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Columbia, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Columbia, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Caseyville, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Caseyville, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
New Hanover, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
New Hanover, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Granite City, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Granite City, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Mitchell, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Data Scientist
Mitchell, IL · On-site
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...
Exploratory Data Analysis information
See Illinois salary details
$32.9K - $41.9K
4% of jobs
$41.9K - $50.9K
7% of jobs
$50.9K - $59.9K
13% of jobs
$60.4K is the 25th percentile. Wages below this are outliers.
$59.9K - $68.9K
18% of jobs
The median wage is $73.1K / yr.
$68.9K - $77.9K
16% of jobs
$77.9K - $86.9K
13% of jobs
$90.2K is the 75th percentile. Wages above this are outliers.
$86.9K - $95.8K
9% of jobs
$95.8K - $104.8K
5% of jobs
$104.8K - $113.8K
9% of jobs
$113.8K - $122.8K
3% of jobs
$122.8K - $131.8K
2% of jobs
$32.9K
$80.1K
$131.8K
How much do exploratory data analysis jobs pay per year?
As of Aug 26, 2026, the average yearly pay for exploratory data analysis in Illinois is $80,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.
What is exploratory data analysis?
An Exploratory Data Analysis (EDA) job involves analyzing and summarizing datasets to uncover patterns, relationships, and anomalies before applying formal modeling techniques. Professionals in this role use statistical methods and visualization tools to interpret data insights, assess data quality, and guide decision-making. EDA helps organizations understand their data better, ensuring that downstream analysis and machine learning models are built on a strong foundation.
What does someone in exploratory data analysis do?
Professionals in Exploratory Data Analysis spend their days gathering, cleaning, and examining data sets to identify patterns, trends, and potential outliers. They use statistical and visualization tools to create reports and dashboards that help stakeholders understand the data’s implications. Collaboration with data engineers, business analysts, and management is common to ensure that the analyses address real business questions. Additionally, they often refine data collection processes and suggest improvements based on their findings, contributing to more efficient and insightful data workflows.
What are the key skills and qualifications needed for exploratory data analysis?
To thrive in Exploratory Data Analysis, you need a strong background in statistics, data visualization, and data manipulation with a relevant degree such as in statistics, mathematics, or computer science. Proficiency with tools like Python (pandas, matplotlib, seaborn), R, SQL, and data visualization platforms such as Tableau is highly valued, and certifications in data analytics can be beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly are essential soft skills for this role. These abilities ensure that analysts can interpret complex datasets, uncover valuable trends, and present findings to inform business decisions.
What is an exploratory data analyst?
An exploratory data analyst is a professional who examines and summarizes data sets to identify patterns, trends, and relationships. They use statistical tools and programming languages like Python or R to visualize data and support decision-making processes.
What are the most commonly searched types of Exploratory Data Analysis jobs in Illinois?
The most popular types of Exploratory Data Analysis jobs in Illinois are:
What are popular job titles related to Exploratory Data Analysis jobs in Illinois?
For Exploratory Data Analysis jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Exploratory Data Analysis jobs in Illinois look for?
The top searched job categories for Exploratory Data Analysis jobs in Illinois are:
University Of Utah rating
7.2
Based on 159 frontline employees who took The Breakroom Quiz
385th of 623 rated colleges and universities
Job description
Details
Open Date 07/16/2026 Requisition Number PRN45737B Job Title Data Scientists Working Title Data Scientists Career Progression Track P00 Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 00847 - Hematology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 75,000 - 105,000 Close Date 10/31/2026 Priority Review Date (Note - Posting may close at any time) 07/16/2026 Job Summary Data Scientists
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities Data Scientist, I
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.
Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
This is an Entry-Level position in the General Professional track.
Job Code: P33861
Grade: P16
Data Scientist, II
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
This is a Developing-Level position in the General Professional track.
Job Code: P33862
Grade: P18
Data Scientist, III
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
This is a Career-Level position in the General Professional track.
Job Code: P33863
Grade: P20
Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Data Scientist, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
Data Scientist, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
Data Scientist, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
Master's Degree Preferred.
Type Benefited Staff Special Instructions Summary Additional Information The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
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About University of Utah
Sourced by ZipRecruiter
The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Salt Lake City, UT, US