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Mathematical Modeling Engineer Jobs in Washington

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... for engineering, physics, finance, and computational science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down mathematical model construction, numerical solution ...

Showing results 41-60

Mathematical Modeling Engineer information

What is a mathematical modeling engineer?

Mathematical Modeling Engineers are professionals who use mathematical techniques and computational tools to develop models that simulate real-world systems, processes, or phenomena. They apply their expertise to analyze complex problems, optimize solutions, and predict outcomes in fields such as engineering, physics, finance, and biology. Their work often involves collaborating with scientists and engineers to translate theoretical concepts into practical applications, helping organizations make data-driven decisions and improve efficiency.

What are the key skills and qualifications needed to thrive as a mathematical modeling engineer?

To thrive as a Mathematical Modeling Engineer, you need a strong background in mathematics, statistics, and engineering principles, often supported by a relevant degree such as applied mathematics, physics, or engineering. Expertise with technical tools like MATLAB, Python, or Simulink, and familiarity with numerical analysis software is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating across multidisciplinary teams. These abilities are essential to develop accurate models, optimize complex systems, and translate mathematical results into actionable engineering solutions.

What are some common challenges faced by mathematical modeling engineers when translating real-world problems into mathematical models?

Mathematical Modeling Engineers often encounter challenges such as accurately capturing the complexity of real-world systems while keeping models computationally manageable. Balancing model simplicity with fidelity, handling incomplete or noisy data, and validating models against real-world results can be demanding. Collaboration with domain experts and iterative refinement are key strategies to address these obstacles, ensuring the models remain both practical and reliable for use in engineering or scientific applications.

What is the difference between Mathematical Modeling Engineer vs Data Scientist?

AspectMathematical Modeling EngineerData Scientist
Required CredentialsDegree in Mathematics, Engineering, or related field; often requires programming skillsDegree in Statistics, Computer Science, or related field; strong programming and analytical skills
Work EnvironmentEngineering teams, research labs, product developmentBusiness, tech companies, analytics teams
Industry UsageManufacturing, aerospace, automotive, engineering firmsFinance, tech, healthcare, marketing
Common Search/ComparisonYesYes

Mathematical Modeling Engineers focus on developing mathematical representations of physical systems to optimize and simulate processes, often within engineering contexts. Data Scientists analyze large datasets to extract insights and inform business decisions. While both roles require strong analytical skills and programming knowledge, their primary applications and industries differ.

What cities in Washington are hiring for Mathematical Modeling Engineer jobs?

Cities in Washington with the most Mathematical Modeling Engineer job openings:

Infographic showing various Mathematical Modeling Engineer job openings in Washington as of August 2026, with employment types broken down into 5% Internship, 68% Full Time, 17% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% In-person job distribution.

Orbit Analyst and Space Application Modeling

Chantilly, VA • On-site

SAIC
IT Services • 10K+ employees

$120K - $160K/yr

Other

Posted 8 days ago


SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz


Job description

Job ID: 2616419
Location: Chantilly, VA, US
Date Posted: 2026-09-01
Category: Engineering and Sciences
Subcategory: Modeling/Sim Engr
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking an individual for an Orbit Analyst and Space Application Modeling role to join the Air Force, Space and Intel Business Group. This group provides specialized program management, engineering, analysis and operations support to a variety of Intelligence Community (IC) and Department of Defense (DoD) customers. You would support the cutting-edge programs in national security-related systems based in space, in the air and on the ground.
This Orbit Analyst and Space Modeling role will work in a collaborative team-focused environment in prototyping, designing, and integrating tools which will be used in modeling and simulating space vehicle missions. This position will help progress and advance current and future concepts to inform missions and potential acquisitions. Your role will be to provide expertise and proficiency to develop algorithms, support modeling and simulation efforts and provide orbit analytic skills to conduct analyses to support physics-based modeling for space mission applications. This position is in direct support to the community's space situational awareness mission.
Responsibilities include but are not limited to:
- Conduct analysis of mission data applicable to space domain missions to promote awareness and understanding about threat behaviors and system vulnerabilities
- Formulate and interpret problems in mathematical or computational terms
- Design, develop, use, and evaluate mathematical models, methods, and algorithm applications to explore concepts and solve problems in the area of orbit dynamics and data analytics
- Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets)
- Advance and progress space-based models for integration into simulation scenarios
- Research analysis products and tools for possible integration to enhance Modeling & Simulation framework
- Create new tools and applications using a variety of software languages, frameworks, and libraries
- Improve, support, and test a Modeling & Simulation framework to support other team members' analytic work
- Refine and enhance existing applications to better meet the customer's mission
- Code, test, and maintain internally developed mathematical software tools
Qualifications
?Bachelor's Degree in Aerospace or Mechanical Engineering, Mathematics, Physics, or related discipline is required
- Active TS/SCI with Polygraph
- Minimum of 5 years of experience of demonstrated on-the-job knowledge of providing space vehicle or orbit dynamics support
- Demonstrated proficiency in using orbit analysis tools such as STK, Free Flyer or other orbital software modeling packages
- Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation using Java, Python or C++
- Practical understanding in modeling and simulation with a focus on optimization, including theoretical and numerical methods for analysis of current and future systems
- Must have the aptitude and attitude to tackle unsolved technical challenges
- Capability to distill complex problems into digestible structures/formats
Desired Skills:
- Advanced Degree in Engineering, Mathematics, Physics, Data Science, or related discipline
- Demonstrated experience in developing new capabilities, methodologies, and processes to improve data extraction
- Experience and knowledge related to visualizing and conveying complex information results
- Other complementary skills such as CAD modeling, Linux experience and programming with OpenGL/JOGL
- Previous experience supporting the Intelligence Community and/or the Department of Defense
- Ability to communicate very technical subjects to a diverse audience with varying levels of technical expertise
- Experience in data analysis and modeling and of operational space systems, assessing performance in current and projected operational environments
- Knowledge and experience with configuration management and version control tools
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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