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Modeling Simulation Analyst Jobs in Washington, DC

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 ...

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Modeling Simulation Analyst information

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$44.2K

$114.7K

$163.1K

How much do modeling simulation analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for modeling simulation analyst in Washington, DC 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 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.

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 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.

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.

What are popular job titles related to Modeling Simulation Analyst jobs in Washington, DC? For Modeling Simulation Analyst jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Analyst jobs in Washington, DC look for? The top searched job categories for Modeling Simulation Analyst jobs in Washington, DC are:

Modeling & Simulation Engineer

Waypoint Human Capital

Chantilly, VA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Position Title: Modeling & Simulation Engineer
Position Type: Full-time; Onsite
Position Location: Chantilly, VA
Clearance Required: Active TS/SCI CI Poly
Waypoint's client is seeking a highly motivated and skilled Modeling & Simulation Engineer to join their team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain.
Responsibilities:
  • Define modeling requirements from user needs and system architecture and develop scripts to automate scenario modeling and performance analysis.
  • Develop models of the end-to-end phenomenology chain, including generating complex EO/IR target signatures (BRDF, thermal), modeling atmospheric radiative transfer using tools like MODTRAN, and integrating realistic cloud clutter and terrain backgrounds.
  • Oversee mission-level simulation to assess ISR constellation performance.
  • Conduct trade studies on future ISR constellations.
  • Assess the resilience of specificized ISR architecture; model the space environment's impact on payload performance, including radiation effects on focal plane arrays, and analyze the vulnerability of established PNT (Positioning, Navigation, and Timing) systems to RF interference.
  • Utilize Python for model development, data analysis, and simulation execution.
  • Leverage AFSIM (or similar aerospace simulation software) for analysis and performance prediction.
  • Incorporate phenomenological modeling principles into relevant models and simulations.

Required Qualifications:
  • Active TS/SCI clearance with Poly.
  • Bachelor's degree in Aerospace Engineering or a related field.
  • 5+ years of experience in modeling and simulation, preferably within the aerospace industry.
  • Strong proficiency in Python programming.
  • Familiarity with AFSIM or similar aerospace simulation tools.
  • Solid understanding of orbital mechanics and space systems.
  • Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
  • Experience modeling solar illumination effects, thermal emissions, Bidirectional Reflectance Distribution Function (BRDF) for material identification, and temperature dynamics of a target.
  • Experience modeling Radar Cross Section (RCS) for various frequencies and polarizations, and the signatures of active RF emitters.
  • Experience with atmospheric models (like MODTRAN or LibRadtran) to simulate absorption, scattering, turbulence (seeing effects), and path radiance.
  • Experience generating realistic backgrounds, including Earth limb radiance, cloud clutter models, terrain-specific thermal and optical properties, and celestial backgrounds (stars, zodiacal light).
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Master's degree in Aerospace Engineering or a related field.
  • Experience with other simulation tools and programming languages.
  • Experience with non-cooperative target tracking.
  • Experience with collection & revisit modeling.
  • Experience modeling the dynamics of rapid slewing and settling of the spacecraft bus and pointing systems.
  • Demonstrated experience modeling the end-to-end Synthetic Aperture Radar (SAR) chain.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure).

*Waypoint Human Capital is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender, national origin, age, protected veteran status, or disability status.