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Mathematical Modeling Jobs in Chicago, IL (NOW HIRING)

College Math Tutor

Chicago, IL · Remote

$18 - $40/hr

Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Naperville, IL · Remote

$18 - $40/hr

Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving ...

Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Des Plaines, IL · Remote

$18 - $40/hr

Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Wheaton, IL · Remote

$18 - $40/hr

Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving ...

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Mathematical Modeling information

See Chicago, IL salary details

$28.4K

$58.5K

$62.4K

How much do mathematical modeling jobs pay per year?

As of Aug 7, 2026, the average yearly pay for mathematical modeling in Chicago, IL is $58,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $61,300.00 per year, depending on experience, location, and employer.

What jobs use mathematical modeling?

Mathematical modeling is used in a variety of jobs such as data analyst, operations researcher, financial analyst, and systems engineer. These roles involve creating models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

What are the key skills and qualifications needed to thrive as a mathematical modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

What do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like MATLAB or Python are often required.

How to get a job in mathematical modeling?

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the most commonly searched types of Mathematical Modeling jobs in Chicago, IL? The most popular types of Mathematical Modeling jobs in Chicago, IL are:
What are popular job titles related to Mathematical Modeling jobs in Chicago, IL? For Mathematical Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Chicago, IL look for? The top searched job categories for Mathematical Modeling jobs in Chicago, IL are:
Infographic showing various Mathematical Modeling job openings in Chicago, IL as of July 2026, with employment types broken down into 71% Full Time, 10% Part Time, and 19% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $58,433 per year, or $28.1 per hour.

Mgr, Modeling and Analytics

Quest Diagnostics

Wood Dale, IL • On-site

Full-time

Re-posted 14 days ago


ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories


Job description

Job Summary:
Quest Diagnostics is a leading company in the healthcare diagnostics sector, seeking a Manager for Modeling and Analytics. The role involves developing and overseeing operational models and analytics platforms to provide actionable insights across the organization, while collaborating with functional leaders to align on business opportunities and training teams on model use for sustainable results.
Responsibilities:
• Ability to use numbers and equations to analyze, explain, and simplify complex systems and processes throughout the business
• Establish the foundational modeling required to implement actionable AI across business operations
• Create predictive models to forecast impact of changes in volume/equipment/personnel based on actual information
• Works with functional leaders as well as team members to understand business challenges and identify opportunities for modeling to add value.
• Owns a portfolio of initiatives including large scale mathematical modeling projects, data analysis projects, and visuals/dashboard requests.
• Demonstrated understanding of continuous improvement, process management, or system thinking (value stream thinking)
• Develop roadmap to leverage AI in data analytics
• Implement automation strategies to improve useability of data
• Implement industry leading practices in data analytics and modeling
• Collaborate across the organization to champion infrastructure and competencies for data analytics
Qualifications:
Required:
• 5+ years of experience in data analytics and/or mathematical modeling
• 5+ years of experience in a laboratory, manufacturing, or operations environment
• 3+ years of experience in Python, SQL or C++
• BI and Visualization: Power BI, Tableau, Advanced Excel, Google Sheets.
• Data Tools: Alteryx, Salesforce, Jira, Snowflake.
• Strong expertise with database applications such as MS Access, or other relational databases very desirable.
• Expert knowledge of test codes and methods available is helpful.
• Experience working with geographically dispersed teams.
• Demonstrated ability to develop strong relationships with others.
• Advanced data analysis skills.
• Effective written and verbal communication skills across multiple formats: formal presentations, training material development, meetings, conference calls, e-mails, and memos.
• Ability to handle multiple projects simultaneously.
• Knowledge of AI models and development fundamentals
• Excellent written and verbal skills, results oriented, and collaborative.
• Bachelor’s degree in biology, computer science or mathematics.
• Formal training in Python or C++, AI development
• Problem Solving
• Listening
• Dealing with Ambiguity
• Drive for Results
• Organizational Agility
• Managerial Courage
• Business Acumen
Preferred:
• Master’s degree in biology, computer science or mathematics.
Company:
Quest Diagnostics is a clinical laboratory that offers diagnostic testing, services, and information. Founded in 1967, the company is headquartered in Secaucus, USA, with a team of 10001+ employees. The company is currently Late Stage.

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