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Complex Systems Modeling Jobs (NOW HIRING)

SSI

Senior Systems Engineer

MI · Remote

$107K - $146K/yr

Models complex systems and leads to the evolution of model-based systems engineering (MBSE) methods. Performs literature reviews and captures Subject Matter Expert (SME) knowledge in models using ...

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Complex Systems Modeling information

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$56K

$124.7K

$176K

How much do complex systems modeling jobs pay per year?

As of Sep 10, 2026, the average yearly pay for complex systems modeling in the United States is $124,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,000.00 per year, depending on experience, location, and employer.

What is complex systems modeling?

Complex systems modeling is the process of using mathematical, computational, or conceptual models to understand and predict the behavior of systems with many interconnected parts. These systems often exhibit emergent properties, meaning the whole system behaves in ways not obvious from its individual components. Examples include climate systems, ecosystems, social networks, and economic markets. By modeling these systems, researchers and analysts can explore scenarios, identify patterns, and inform decision-making in fields ranging from engineering to public policy.

What are the key skills and qualifications needed to thrive as a complex systems modeler?

To thrive as a Complex Systems Modeler, you need a strong background in mathematics, systems theory, and computational modeling, often supported by an advanced degree in engineering, physics, or related fields. Familiarity with simulation software (such as MATLAB, AnyLogic, or Simulink), programming languages (like Python or R), and data analysis tools is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting results and collaborating with multidisciplinary teams. These skills enable modelers to build accurate representations of intricate systems and provide actionable insights for decision-making.

What are some common challenges faced when working in complex systems modeling, and how can they be addressed?

Professionals in Complex Systems Modeling often encounter challenges such as managing large volumes of data, ensuring the accuracy of simulations, and integrating multidisciplinary perspectives. Addressing these challenges typically involves close collaboration with subject matter experts, regular validation of models against real-world data, and adopting advanced computational tools. Additionally, effective communication within cross-functional teams is essential for interpreting results and refining models. Staying current with industry best practices and continuing education can also help overcome these hurdles.

What is the difference between Complex Systems Modeling vs Data Analyst?

AspectComplex Systems ModelingData Analyst
Required CredentialsDegree in systems engineering, computer science, or related fields; knowledge of modeling softwareDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, engineering firms, or tech companies focusing on system simulationsBusiness, finance, or healthcare settings analyzing data trends
Industry UsageEngineering, technology, research institutionsBusiness, finance, healthcare, marketing

Complex Systems Modeling involves creating simulations of interconnected systems to analyze behavior and predict outcomes, often requiring specialized modeling skills. Data Analysts focus on interpreting data sets to inform decision-making, using statistical tools. While both roles analyze complex information, modeling emphasizes system simulation, whereas data analysis centers on data interpretation.

What other helpful pages are available for Complex Systems Modeling?

Other pages related to Complex Systems Modeling:

Infographic showing various Complex Systems Modeling job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $124,732 per year, or $60 per hour.

Model-Based Systems Engineer (MBSE)

Dayton, OH • On-site

Waypoint Human Capital
See more jobs at Waypoint Human Capitalexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Position Title: Model-Based Systems Engineer (MBSE)
Position Type: Full-time, Onsite
Location: Dayton, OH
Clearance: Active TS/SCI
Description:
Waypoint's client is seeking a Model-Based Systems Engineer (MBSE) to support the development, analysis, and integration of complex systems and systems of systems. This role focuses on applying Model-Based Systems Engineering methodologies to define system architectures, behaviors, and interfaces while ensuring traceability across the system lifecycle.
Responsibilities:
  • Develop and maintain SysML-based system models representing system architecture, behavior, and interfaces.
  • Apply MBSE methodologies to support system design, integration, and lifecycle management.
  • Create and manage engineering artifacts, models, and integrated datasets for complex systems and systems of systems.
  • Support architecture development using MBSE tools such as Cameo Systems Modeler, MagicDraw, IBM Rhapsody, or Enterprise Architect.
  • Ensure traceability between requirements, system models, and design artifacts.
  • Collaborate with multidisciplinary teams, including government customers and external contractors, to support system development efforts.
  • Analyze system architectures and engineering data to support design decisions and system improvements.
  • Develop and present technical documentation, models, and engineering artifacts to stakeholders.

Required:
  • Active TS/SCI clearance.
  • Bachelor's degree in Systems Engineering, Aerospace Engineering, or a related technical field.
  • Minimum 3 years of relevant experience in systems engineering or MBSE.
  • Strong knowledge of SysML for modeling system architectures and behaviors.
  • Proficiency with MBSE tools such as Cameo Systems Modeler, MagicDraw, IBM Rhapsody, or Enterprise Architect.
  • Experience developing and maintaining models, artifacts, and integrated datasets for complex systems.

Desired:
  • Knowledge of SysML 2.0.
  • Experience with object-oriented programming languages such as Java, C++, or Python.
  • Familiarity with architecture frameworks such as DoDAF, UAF, or similar.
  • Experience analyzing engineering data to solve complex system challenges and improve system performance.
  • Knowledge of aerospace or defense systems and processes.
  • Experience with modeling and simulation (M&S) tools and methodologies.

Apply