ZipRecruiter

Log In

1

Mathematical Modeling Jobs in Minnesota (NOW HIRING)

Varsity Tutors

Elementary School Math Tutor

Edina, MN · Remote

$18 - $40/hr

... and visual models. Guides students through skip counting, place value understanding, basic ... Familiar with elementary math standards for grades one through five and common challenges such as ...

next page

Showing results 1-20

All JobsMathematical Modeling JobsMathematical Modeling Jobs in Minnesota

Mathematical Modeling information

See Minnesota salary details

$26.9K

$55.6K

$59.3K

How much do mathematical modeling jobs pay per year?

As of Jun 29, 2026, the average yearly pay for mathematical modeling in Minnesota is $55,555.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems across various fields such as engineering, finance, and science. They use tools like statistical analysis, computer simulations, and programming languages to create models that predict behavior and inform decision-making.

What careers use mathematical modeling?

Mathematical modeling is used in careers such as data scientist, operations researcher, financial analyst, engineer, and epidemiologist. These roles involve developing models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and domain-specific knowledge.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearance. Mathematicians in the FBI may work on developing algorithms, analyzing complex data, or supporting investigations.

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.

How to become a mathematical modeller?

To become a mathematical modeller, you typically need a bachelor's degree in mathematics, applied mathematics, engineering, or a related field, with advanced roles often requiring a master's or Ph.D. in a quantitative discipline. Developing strong skills in programming, data analysis, and modeling tools such as MATLAB, R, or Python is essential, along with experience in applying mathematical techniques to real-world problems through internships or projects.

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.

More about Mathematical Modeling jobs
What are the most commonly searched types of Mathematical Modeling jobs in Minnesota? The most popular types of Mathematical Modeling jobs in Minnesota are:
What are popular job titles related to Mathematical Modeling jobs in Minnesota? For Mathematical Modeling jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Minnesota look for? The top searched job categories for Mathematical Modeling jobs in Minnesota are:
What cities in Minnesota are hiring for Mathematical Modeling jobs? Cities in Minnesota with the most Mathematical Modeling job openings:
Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Minnesota as of June 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $55,555 per year, or $26.7 per hour.
Math Teacher - 1.0 FTE - #112951

Math Teacher - 1.0 FTE - #112951

Rochester Public Schools

Rochester, MN • On-site

$47K - $62K/yr

Full-time

Posted 2 days ago

Rochester Public Schools rating

8.8

Company rating: 8.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

17th of 558 rated elementary and secondary schools

Job description

POSITION: Full-time, 1.0 FTE Math Teacher position available for the 2026-2027 school year.


WORK CALENDAR: Click link to view calendar with work days.

2026-2027 REA Calendar


SALARY: Prorated based upon hire date.

Based on level of education and full years of licensed teaching experience.

Click link below to review the 2025-2027 REA Contract containing salary schedule.

REA Contract 2025-2027


QUALIFICATION: Current Minnesota PELSB license in appropriate area required. Mathematics

RPS makes an effort to hire teachers with a full standard license in the assigned subject and/or grade level.


Hiring Manager: Teri Linander, Dakota Principal


If you have questions regarding a job posting, contact the Office of Human Resources @ 507-328-4253 or email kyla.androli@rochesterschools.org


Commitment to Equity:

Rochester Public Schools is committed to diversifying its workforce to better reflect the community we serve. We believe the practices used in recruiting, interviewing, hiring, supporting, and promoting staff must include and honor, at every level, those who represent the diverse identities of our schools and community.

https://www.rochesterschools.org/equity-statement


Common and Shared Accountabilities for All Positions

Employees of the Rochester Public School District #535 are expected to support the goals, model and promote an environment that is respectful for all, and work collaboratively with other staff to focus on the needs of the learner. A quality, customer focus that conveys a welcome attitude, an adaptability to change, and a desire for continuous improvement is also expected of all employees. In addition, staff are to respect confidential matters, encourage a safe and secure environment throughout the schools, and be dependable and accountable employees.


District Information: To learn more about Rochester Public Schools, visit www.rochesterschools.org.