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Modeling Simulation Analyst Jobs in Arlington, TX

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Modeling Simulation Analyst information

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$35.1K

$91.1K

$129.6K

How much do modeling simulation analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for modeling simulation analyst in Arlington, TX is $91,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $116,500.00 per year, 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 Arlington, TX?

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

What job categories do people searching Modeling Simulation Analyst jobs in Arlington, TX look for?

The top searched job categories for Modeling Simulation Analyst jobs in Arlington, TX are:

What cities near Arlington, TX are hiring for Modeling Simulation Analyst jobs?

Cities near Arlington, TX with the most Modeling Simulation Analyst job openings:

Modeling Simulation Analyst jobs near you

Senior Staff Engineer, Operations Analysis (R4759)

Shield AI

Dallas, TX • On-site

$180K - $270K/yr

Full-time

Re-posted 24 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are seeking a Senior Lead Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI's aircraft systems. In this role, you will perform analysis at the component, system, mission and campaign levels to evaluate the effectiveness, survivability, and operational impact of our aircraft across multiple domains, missions and applications. You will collaborate closely with engineering, product, and defense stakeholders to assess system performance, inform design trade-offs, and improve mission outcomes. 

This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments. 
What you'll do:
  • Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
  • Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
  • Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
  • Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
  • Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
  • Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
  • Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
  • Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
  • Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
  • Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders. 
  • Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.
  • Be a force multiplier by coaching and developing incoming talent.
Required qualifications:
  • Bachelor's degree in science, technology, engineering or math domain.
  • 9+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
  • Active Secret at a minimum.  Preferred Top-Secret clearance (or ability to obtain one).
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
    • Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability.
  • Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
    • Experience leading a product effort from pre-shaping to tactical deployment
  • Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)
    •  Experience developing technical expertise in a team to execute analyses for system design and analysis.
$180,000 - $270,000 a year
Compensation for this role is based on the position's work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. 
 
Seattle, Washington pay range: $220,000 - $330,000
#LI-AD6
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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