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Modeling Simulation Analyst Jobs in Washington (NOW HIRING)

Sedaro

Modeling & Simulation Engineer

Arlington, VA · On-site

Ability to obtain a TS security clearance Who We Are Our simulation platform enables digital mission engineering and model-based optimization through distributed, multi-domain, rapid analysis across ...

Sedaro

Modeling & Simulation Engineer

Arlington, VA · On-site

Ability to obtain a TS security clearance Who We Are Our simulation platform enables digital mission engineering and model-based optimization through distributed, multi-domain, rapid analyses across ...

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Modeling Simulation Analyst information

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$20

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How much do modeling simulation analyst jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for modeling simulation analyst in Washington is $49.19, according to ZipRecruiter salary data. Most workers in this role earn between $34.04 and $61.68 per hour, depending on experience, location, and employer.

What is a modeling simulation analyst?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

How does a modeling simulation analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What are the key skills and qualifications needed to thrive as a modeling simulation analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

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

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

Is modeling a high paying job?

Modeling simulation analysts often earn competitive salaries, especially with experience and advanced skills in programming, data analysis, and simulation tools. Salaries can vary based on industry, location, and level of expertise, but the role generally offers above-average compensation compared to many entry-level positions.

What does a modeling simulation analyst do?

A modeling simulation analyst develops and runs computer models to analyze complex systems and predict outcomes. They use specialized software and data analysis skills to support decision-making in fields like engineering, defense, or manufacturing, often working with large datasets and simulation tools. The role requires strong analytical skills, attention to detail, and knowledge of modeling techniques and programming languages.

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

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

What job categories do people searching Modeling Simulation Analyst jobs in Washington look for?

The top searched job categories for Modeling Simulation Analyst jobs in Washington are:

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

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

Modeling Simulation Analyst jobs near you

Modeling, Simulation, and Analysis Engineer

Washington, DC • On-site

Tulk LLC
See more jobs at Tulk LLCexternal

$110K - $168K/yr

Full-time

Posted 12 days ago

Job description

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.

How to Apply

Submit a resume and answer the application questions. TULK advances applicants whose resumes and responses clearly demonstrate relevant technical delivery and answer the required screening questions.