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Mathematical Modeling Jobs in Minnesota (NOW HIRING)

... mathematical modeling techniques. It also requires exposure to data science, and associated software and programming technologies. Additionally, this role requires exposure to advanced planning ...

Math 1 Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Math 1 Tutor

Edina, MN · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Math 1 Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Math 2 Tutor

Edina, MN · Remote

$18 - $40/hr

Adapts instruction using dynamic geometry software, visual models for probability, and scaffolded practice to support students building on Integrated Math 1 foundations. * Effective Teaching Methods:

Math 2 Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Adapts instruction using dynamic geometry software, visual models for probability, and scaffolded practice to support students building on Integrated Math 1 foundations. * Effective Teaching Methods:

Math 2 Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Adapts instruction using dynamic geometry software, visual models for probability, and scaffolded practice to support students building on Integrated Math 1 foundations. * Effective Teaching Methods:

Ability to explain number sense, coordinate plane plotting, and mathematical reasoning while ... using visual models and hands-on manipulatives. Guides students through pre-algebra concepts ...

Middle School Math Tutor

Edina, MN · Remote

$18 - $40/hr

Ability to explain number sense, coordinate plane plotting, and mathematical reasoning while ... using visual models and hands-on manipulatives. Guides students through pre-algebra concepts ...

Ability to explain number sense, coordinate plane plotting, and mathematical reasoning while ... using visual models and hands-on manipulatives. Guides students through pre-algebra concepts ...

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Showing results 1-20

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.

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:
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.
Kinaxis Manager

Other

Posted 20 days ago


Key responsibilities

  • Oversee the end-to-end solution delivery process for supply chain planning functionalities using Kinaxis Maestro, including requirement gathering, process improvement, and architecture guidance.

  • Configure supply chain planning systems to meet business requirements, design resources such as worksheets and dashboards, and support data integration across multiple systems.

  • Collaborate with cross-functional teams and vendors to prioritize work, optimize system performance, update documentation, and coach teams in technical and consulting skills.


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services


Job description

Kinaxis Solution Architect Manager

We are a team of strategic advisors, architects, and implementers who drive business transformations. Our diverse talent energizes clients' business functions and technology to maximize value in Supply Chain enhancing their ability to fulfill their growth and efficiency ambitions. Imagine working with world-class supply network capabilities like Smart Factory, Strategy & Innovation, Supply Chain Responsiveness, Sourcing & Procurement, or Product Development & Operations! 
Are you ready to take your career to new heights? Join our US Supply Chain & Network Operations Offering, where you'll deliver transformational solutions using operational expertise, digital technologies, advanced analytics, and industry-specific hybrid solutions. Don't miss the chance to be part of a team that provides exceptional client value while advancing your professional journey. Apply now and become a vital part of our innovative and dynamic workforce!

Team Intro

We collaborate with clients to address their most complex operational challenges across the entire supply chain, from procurement to manufacturing and customer delivery. By leveraging real-time data and analytics, our team helps organizations gain critical insights and remain competitive in a fast-paced, interconnected market. We modernize supply chains by implementing artificial intelligence, machine learning, and connected products to transform them into strategic organizational assets. By designing integrated solutions that align customer demand, supply chain assets, and working capital we enhance service levels, efficiency, and financial outcomes for both shareholders and customers.

Work You'll Do

This position is responsible for overseeing and ensuring the success of the end-to-end solution delivery process including resource allocation, serving as the primary interface with the client, and directing a cross-functional team to achieve established goals.

This role will manage solution delivery through a variety of activities including process design, data analytics, solution configuration, and deployment, establishing performance metrics and new policies, testing, and knowledge management.

The role requires deep analytical, technical, and complex problem-solving skills with knowledge of optimization methods, financial computations, statistical analysis, and advanced mathematical modeling techniques. It also requires exposure to data science, and associated software and programming technologies. Additionally, this role requires exposure to advanced planning systems and tools (Kinaxis, etc.)

The successful candidate will be a skilled leader with a proven track record of driving results, exceeding client expectations, building trust across the organization, applying critical thinking and business management skills, and managing diverse groups of people and projects.

  • Lead Solution Design & Architecture: Oversee requirement gathering, process improvement, and provide architecture guidance for supply chain planning functionalities using Kinaxis Maestro, including technical specifications and system models. 
  • Collaborate & Prioritize Work: Partner with Scrum Masters, Product Owners, and teams to define technical user stories, prioritize enabler work, and engage Kinaxis vendor consultants for implementation guidance. 
  • Configure & Integrate Systems: Configure supply chain planning systems to meet business requirements, design resources (worksheets, dashboards, alerts), and support data integration across multiple sources and target systems. 
  • Optimize, Document & Lead Teams: Work with vendors to optimize performance, update solution documentation, support integration leads, and coach teams to develop technical and consulting skills.

Recruiting for this role ends on 5/31/2027.

Required Qualifications/Experience

  • Bachelor's Degree in Operations Research, Industrial Engineering, Engineering Management, Business Analytics, Computer Science, or related fields with a concentration in operations or analytics
  • 5+ years of experience in supply chain module implementation using Kinaxis Maestro
  • 3+ full life cycle implementations of supply chain planning projects end to end
  • Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred Qualifications/Experience

  • 3-5 years leading a team
  • Certified as a Kinaxis Solution Architect or has completed all requirements for Kinaxis Solution Architect certification
  • 1+ year experience in Agile methodology to deliver large scale enterprise solutions

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the range is $140,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Kinaxis Solution Architect Manager

We are a team of strategic advisors, architects, and implementers who drive business transformations. Our diverse talent energizes clients' business functions and technology to maximize value in Supply Chain enhancing their ability to fulfill their growth and efficiency ambitions. Imagine working with world-class supply network capabilities like Smart Factory, Strategy & Innovation, Supply Chain Responsiveness, Sourcing & Procurement, or Product Development & Operations! 
Are you ready to take your career to new heights? Join our US Supply Chain & Network Operations Offering, where you'll deliver transformational solutions using operational expertise, digital technologies, advanced analytics, and industry-specific hybrid solutions. Don't miss the chance to be part of a team that provides exceptional client value while advancing your professional journey. Apply now and become a vital part of our innovative and dynamic workforce!

Team Intro

We collaborate with clients to address their most complex operational challenges across the entire supply chain, from procurement to manufacturing and customer delivery. By leveraging real-time data and analytics, our team helps organizations gain critical insights and remain competitive in a fast-paced, interconnected market. We modernize supply chains by implementing artificial intelligence, machine learning, and connected products to transform them into strategic organizational assets. By designing integrated solutions that align customer demand, supply chain assets, and working capital we enhance service levels, efficiency, and financial outcomes for both shareholders and customers.

Work You'll Do

This position is responsible for overseeing and ensuring the success of the end-to-end solution delivery process including resource allocation, serving as the primary interface with the client, and directing a cross-functional team to achieve established goals.

This role will manage solution delivery through a variety of activities including process design, data analytics, solution configuration, and deployment, establishing performance metrics and new policies, testing, and knowledge management.

The role requires deep analytical, technical, and complex problem-solving skills with knowledge of optimization methods, financial computations, statistical analysis, and advanced mathematical modeling techniques. It also requires exposure to data science, and associated software and programming technologies. Additionally, this role requires exposure to advanced planning systems and tools (Kinaxis, etc.)

The successful candidate will be a skilled leader with a proven track record of driving results, exceeding client expectations, building trust across the organization, applying critical thinking and business management skills, and managing diverse groups of people and projects.

  • Lead Solution Design & Architecture: Oversee requirement gathering, process improvement, and provide architecture guidance for supply chain planning functionalities using Kinaxis Maestro, including technical specifications and system models. 
  • Collaborate & Prioritize Work: Partner with Scrum Masters, Product Owners, and teams to define technical user stories, prioritize enabler work, and engage Kinaxis vendor consultants for implementation guidance. 
  • Configure & Integrate Systems: Configure supply chain planning systems to meet business requirements, design resources (worksheets, dashboards, alerts), and support data integration across multiple sources and target systems. 
  • Optimize, Document & Lead Teams: Work with vendors to optimize performance, update solution documentation, support integration leads, and coach teams to develop technical and consulting skills.

Recruiting for this role ends on 5/31/2027.

Required Qualifications/Experience

  • Bachelor's Degree in Operations Research, Industrial Engineering, Engineering Management, Business Analytics, Computer Science, or related fields with a concentration in operations or analytics
  • 5+ years of experience in supply chain module implementation using Kinaxis Maestro
  • 3+ full life cycle implementations of supply chain planning projects end to end
  • Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred Qualifications/Experience

  • 3-5 years leading a team
  • Certified as a Kinaxis Solution Architect or has completed all requirements for Kinaxis Solution Architect certification
  • 1+ year experience in Agile methodology to deliver large scale enterprise solutions

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the range is $140,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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