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Mathematical Modeling Jobs (NOW HIRING)

Bowhead

Applied Mathematician/Analyst

King George, VA · On-site

Develop mathematical models, algorithms, and simulations to solve real-world, open-ended defense-related problems. * Leverage experience in mathematics and software development to design, implement ...

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How much do mathematical modeling jobs pay per year?

As of May 30, 2026, the average yearly pay for mathematical modeling in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

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 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 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 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 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 developing models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

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.

More about Mathematical Modeling jobs
What cities are hiring for Mathematical Modeling jobs? Cities with the most Mathematical Modeling job openings:
What are the most commonly searched types of Mathematical Modeling jobs? The most popular types of Mathematical Modeling jobs are:
What states have the most Mathematical Modeling jobs? States with the most job openings for Mathematical Modeling jobs include:
What job categories do people searching Mathematical Modeling jobs look for? The top searched job categories for Mathematical Modeling jobs are:
Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.
Data Scientist, Medical Device & Mathematical Modeling (JP12081)

Data Scientist, Medical Device & Mathematical Modeling (JP12081)

3 Key Consulting

Thousand Oaks, CA

$52 - $56/hr

Other

Posted 5 days ago

Job description

Job Title: Data Scientist, Medical Device & Mathematical Modeling (JP12081)
Location: Thousand Oaks, CA. 91320
Business Unit: Combination Products Operations - Digital & Data Strategy
Employment Type: Contract
Duration: 1+ years (with possible extensions)
Rate: $52 - $56/hr
Posting Date: 1/5/2024.
Notes: Only qualified candidates need apply. Onsite 3-4x / week *Must be OK to be onsite weekly and must be local to Thousand Oaks, CA.
3 Key Consulting is hiring! We are recruiting a Data Engineer for a consulting engagement with our direct client, a leading global biotechnology company.
Job Description:
The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way our client manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.
Top Must Have Skill Sets:
  • Simulation, modeling, and data analysis experience
  • Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
  • Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
  • Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations

Day to Day Responsibilities:
The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling.
This may include, but is not limited to, the following:
  • Applying engineering principles to develop in-silico models for combination products
  • Developing, enhancing, automating, and managing analytics and data-driven models
  • Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements
  • Demonstrating modeling and visualization approaches as part of proof-of-concept projects
  • Transforming ambiguous business and technical questions into measurable and impactful projects
  • Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.

Basic Qualifications:
  • Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience OR High school diploma / GED and 12 years of experience
  • Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
  • Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
  • Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations
  • Familiar with utilizing GitLab for version control, code collaboration, and project management
  • Data analysis expertise and statistical or mechanistic modeling experience
  • Experience in deriving technical recommendations and specifications from the analysis of measured data
  • Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls
  • Understanding business needs and developing novel yet practical solutions to meet those needs
  • Experience with combination products and device regulatory requirements and medical device development and engineering

Preferred Qualifications:
  • Passion for proactively identifying opportunities through creative modeling and data analysis
  • Transform ambiguous business and technical questions into measurable and impactful projects
  • Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning)
  • Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment
  • Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise
  • Ability to manage multiple competing priorities simultaneously
  • Ability to work in highly collaborative, cross-functional environments

Why is the Position Open?
Supplement additional workload on team.
Red Flags:
  • Not meeting degree and experience requirements (not meeting basic qualification)
  • No modeling and simulation experience
  • No engineering background

Interview Process:
One phone and one virtual panel interview.
We invite qualified candidates to sendyour resume toresumes@3keyconsulting.com. Ifyou decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our websitewww.3keyconsulting.com/careers. You are also welcome to sharethis opportunity withanyone you think might be interested in applying for this role.

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