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Modeling Simulation Analyst Jobs in Boston, MA (NOW HIRING)

Simulation Engineer

Cambridge, MA · On-site

$62K - $140K/yr

Duties/Responsibilities • Model operational environments, perform studies via computer simulation with guidance. • Perform modeling, simulation, and analysis tasks assess system survivability ...

Simulation Engineer

Cambridge, MA · On-site

$62K - $140K/yr

Perform modeling, simulation, and analysis tasks assess system survivability, system effectiveness, and overall system performance in engagement / mission-level scenarios, with guidance. Prepare and ...

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains ... Experience with analytical methods, approaches, and data visualization. Excellent mathematical ...

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains ... Skills/Abilities • Strong analytical and problem-solving skills. • Experience with analytical ...

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Modeling Simulation Analyst information

See Boston, MA salary details

$42.4K

$110K

$156.4K

How much do modeling simulation analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for modeling simulation analyst in Boston, MA is $110,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $140,700.00 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 are Modeling Simulation Analysts?

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 Boston, MA? For Modeling Simulation Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Analyst jobs in Boston, MA look for? The top searched job categories for Modeling Simulation Analyst jobs in Boston, MA are:
What cities near Boston, MA are hiring for Modeling Simulation Analyst jobs? Cities near Boston, MA with the most Modeling Simulation Analyst job openings:
Senior Engineer, XBAT Simulation Modeling (R4546) (TX/SD/BOS)

Senior Engineer, XBAT Simulation Modeling (R4546) (TX/SD/BOS)

Shield AI

Boston, MA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. The Senior Modeling & Simulation Engineer will contribute to the modeling and simulation tooling pipeline for next-generation aircraft, focusing on developing infrastructure for automated testing and conducting performance analysis of simulation pipelines.
Responsibilities:
• Develop models and infrastructure for the integrated simulation pipeline in C++
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement test scenarios and write unit, system, and regression tests.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Contribute to platform-agnostic simulation tooling to accelerate future development efforts
• Perform verification and validation (V&V) analysis activities on model tools.
• Conduct system performance analysis and generate reports and visualizations.
• Utilize best practices in C++, simulation architecture, and performance engineering.
Qualifications:
Required:
• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Strong understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Ability to debug complex build and runtime environments (CMake, CPM, package management, logging, & profiling tools).
• Experience with software testing tools (GTest, etc.)
• Experience with model V&V.
• Strong collaboration and communication skills across software, hardware, and systems disciplines.
• Ability to obtain a S//SAR level security clearance desired.
Preferred:
• Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Familiarity with aircraft and flight physics modeling.
Company:
Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians. Founded in 2015, the company is headquartered in San Diego, USA, with a team of 1001-5000 employees. The company is currently Late Stage.