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Mathematical Modeler Jobs in Kansas (NOW HIRING)

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS · On-site

Deploy models to production. Support monitoring, detecting drift, and retraining them so they run ... Bachelor's degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics ...

Galaxy Technologies

Job Cost Estimator

Winfield, KS · On-site

Experience with CATIA or similar 3D modeling software. * Strong proficiency in Microsoft Excel. * Strong math skills including working with fractions, decimals, percentages, and proportions.

DPDHL

Business Data Analyst II

Wichita, KS

$55K - $90K/yr

Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and ... Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years ...

DHL

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and ... Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years ...

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All JobsMathematical Modeler JobsMathematical Modeler Jobs in Kansas

Mathematical Modeler information

See Kansas salary details

$9.8K

$94.1K

How much do mathematical modeler jobs pay per year?

As of Aug 6, 2026, the average yearly pay for mathematical modeler in Kansas is $86,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $93,600.00 per year, depending on experience, location, and employer.

What types of projects do mathematical modelers typically work on, and how do they collaborate with other teams?

Mathematical modelers often work on projects that require analyzing complex data and developing simulations or predictive models for fields like finance, healthcare, engineering, or environmental science. They regularly collaborate with cross-functional teams, such as data scientists, engineers, and domain experts, to ensure models are accurate and aligned with project goals. Effective communication is key, as modelers must explain their findings and model limitations to non-technical stakeholders. This collaborative environment helps ensure that the models developed are practical, actionable, and meet the needs of the organization.

What is a mathematical modeler?

Mathematical Modelers are professionals who use mathematical techniques and computational tools to create models that represent real-world systems, processes, or phenomena. These models help predict outcomes, solve problems, and inform decision-making in fields such as engineering, finance, biology, and environmental science. Mathematical Modelers typically analyze data, develop algorithms, and validate models to ensure their accuracy and usefulness. Their work is essential for research, product development, and policy planning across various industries.

Is mathematical modeling hard?

Mathematical modeling can be challenging as it requires strong analytical skills, understanding of complex concepts, and proficiency with tools like MATLAB or Python. Success in this field often depends on a solid foundation in mathematics, problem-solving abilities, and experience with data analysis. It is a demanding but rewarding profession for those with a strong quantitative background.

What is the difference between Mathematical Modeler vs Data Analyst?

AspectMathematical ModelerData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering, or tech companiesBusiness, marketing, finance, or healthcare sectors
Employer & Industry UsageUsed for developing complex models to predict or optimize systemsUsed for interpreting data to inform business decisions

While both roles involve working with data and quantitative methods, Mathematical Modelers focus on creating complex mathematical models to simulate and predict systems, often requiring advanced mathematical skills. Data Analysts primarily interpret existing data sets to generate insights and support decision-making. The roles overlap in skills but differ in scope and application.

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

To thrive as a Mathematical Modeler, you need strong analytical skills, a solid background in mathematics or applied mathematics, and typically a degree in a related field such as mathematics, engineering, or physics. Proficiency with programming languages (such as Python, R, or MATLAB), statistical software, and modeling tools is essential. Critical thinking, creativity, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing accurate models, solving complex real-world problems, and clearly conveying findings to diverse stakeholders.

What do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems. They use techniques such as differential equations, statistical analysis, and computer simulations, often working with specialized software to create models that inform decision-making across industries like engineering, finance, and healthcare.
What are popular job titles related to Mathematical Modeler jobs in Kansas? For Mathematical Modeler jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeler jobs in Kansas look for? The top searched job categories for Mathematical Modeler jobs in Kansas are:
Mathematical Modeler jobs near you
Infographic showing various Mathematical Modeler job openings in Kansas as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 3% Temporary, and 2% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $86,658 per year, or $41.7 per hour.

Artificial Intelligence (AI) Tutor

Varsity Tutors

Wichita, KS • Remote

$18 - $40/hr

Part-time

Re-posted 3 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Artificial Intelligence (AI) tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Artificial Intelligence (AI) Tutor
  • Advanced Subject Mastery: Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and unsupervised learning, backpropagation, transformer architecture, and bias in AI systems while preparing students for AI research, data science, and technology innovation careers.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs. Emphasizes connecting mathematical foundations to practical implementation and applies AI to healthcare, autonomous systems, and creative applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with AI curricula at introductory and intermediate levels and common challenges such as understanding gradient descent mathematics, selecting appropriate model architectures, and interpreting overfitting. Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world data projects to support students from AI concepts introduction through intermediate machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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