1

Modeling And Simulation Jobs in Washington (NOW HIRING)

Showing results 41-60

Modeling And Simulation information

See Washington salary details

$44.2K

$114.7K

$163.1K

How much do modeling and simulation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for modeling and simulation in Washington is $114,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $146,700.00 per year, depending on experience, location, and employer.

What is a modeling and simulation job?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.

What are the key skills and qualifications needed to thrive as a modeling and simulation specialist?

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in modeling and simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What are popular job titles related to Modeling And Simulation jobs in Washington?

For Modeling And Simulation jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Modeling And Simulation jobs?

Cities in Washington with the most Modeling And Simulation job openings:

Infographic showing various Modeling And Simulation job openings in Washington as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $114,681 per year, or $55.1 per hour.

Modeling, Simulation, and Analysis Engineer

Washington, DC • On-site

$110K - $168K/yr

Other

Posted 12 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Modeling, Simulation, and Analysis Engineer

Full Time Washington, DC, US

Salary Range: $110,000.00 To $168,000.00 Annually

Modeling, Simulation, and Analysis Engineer

TULK is a boutique consulting firm delivering mission-focused systems integration, acquisition, engineering, analysis, and operational transition services to Defense and national-security customers. We build practical teams that connect mission needs, technology, acquisition decisions, and fielded operational effect.

Our work matters because capable technology only creates value when it is integrated, tested, supportable, and trusted by the people who use it.

The Role

Use modeling, simulation, and analysis to help decision makers understand mission effects, integration choices, capability gaps, operational risk, and the path to fielded results.

What You Will Do

  • Develop and apply mission-focused models, simulations, scenarios, experiments, and analyses that answer operational, engineering, integration, test, or acquisition questions.
  • Translate mission threads, operational effects, capability gaps, and system dependencies into analytic representations and defensible assessment approaches.
  • Design and execute scenario-based analyses; document assumptions, data inputs, limitations, verification, validation, and the confidence appropriate to the decision.
  • Work with operators, systems engineers, technical authorities, test personnel, program offices, and acquisition stakeholders to turn analysis into actionable recommendations.
  • Communicate analytic results clearly through concise decision products, briefings, visualizations, and technically sound recommendations.

Required Qualifications

  • 8+ years of relevant experience in modeling and simulation, mission analysis, operations research, systems engineering analysis, digital engineering, test and evaluation, or a closely related field.
  • Demonstrated experience creating, adapting, applying, or governing models, simulations, analytic scenarios, experiments, or decision-support analyses for complex systems or missions.
  • Demonstrated understanding of model assumptions, data quality, verification, validation, uncertainty, and appropriate interpretation of analytic results.
  • Demonstrated ability to connect analytic work to integration, test, fielding, capability, acquisition, or operational decisions.
  • United States citizenship is required.
  • Must be eligible to obtain and maintain a Top Secret security clearance.
  • Strong written and verbal communication skills, including the ability to produce concise, decision-ready technical products.
  • Applicants must provide specific examples of their personal technical delivery, including the mission or operational problem, their technical role, and the outcome.

What Makes an Application Stand Out

Show how you personally used modeling, simulation, scenario analysis, or experimentation to answer a real mission, technical, test, or acquisition question. Identify the decision, your role, the model or analytic method, the assumptions and evidence, and the resulting recommendation or outcome.

#J-18808-Ljbffr