ZipRecruiter

Log In

1

Modeling Simulation Scientist Jobs (NOW HIRING)

Logistics Management Institute

Bachelor's degree in Computer Science, ORSA, Data Science, or related field (or equivalent work ... Previous experience with modeling and simulation (M&S) tools. * Experience building simulation ...

next page

Showing results 1-20

All JobsModeling Simulation Scientist Jobs

Modeling Simulation Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do modeling simulation scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for modeling simulation scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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

AspectModeling Simulation ScientistData Analyst
Required CredentialsAdvanced degrees in engineering, physics, or related fields; often requires experience with simulation softwareBachelor's or master's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, R&D departments, or engineering teams focusing on modeling and simulationBusiness, finance, healthcare, or marketing teams analyzing data sets
Industry UsageEngineering, aerospace, automotive, and manufacturing sectorsFinance, healthcare, retail, and technology sectors
Common Search & ComparisonOften compared based on technical skills and software expertiseCompared based on data handling and visualization skills

The main difference is that Modeling Simulation Scientists focus on creating and validating models to simulate real-world systems, often requiring advanced technical knowledge. Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills but serve different purposes within their industries.

What are the key skills and qualifications needed to thrive as a Modeling Simulation Scientist, and why are they important?

To excel as a Modeling Simulation Scientist, you need a solid background in mathematics, physics, computer science, and engineering, often supported by a relevant advanced degree such as a master's or PhD. Experience with simulation software (like MATLAB, Simulink, or ANSYS), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These competencies are essential for designing accurate models, troubleshooting simulations, and delivering actionable insights for research and product development.

What are some common challenges faced by Modeling Simulation Scientists when integrating models with real-world data?

Modeling Simulation Scientists often encounter challenges when aligning theoretical models with real-world data, such as dealing with incomplete or noisy datasets and ensuring model validity. Adapting models to reflect complex, dynamic systems can require significant iteration and collaboration with subject matter experts. Additionally, communicating technical findings to stakeholders who may not have a technical background is crucial for project success. Developing effective data preprocessing strategies and maintaining flexibility in model development are key to overcoming these challenges.

What does a Modeling Simulation Scientist do?

A Modeling Simulation Scientist develops mathematical models and computer simulations to predict, analyze, and optimize complex systems or processes. They use advanced computational techniques to create virtual representations of real-world phenomena, which can be used for research, development, and decision-making. These professionals work in various fields such as engineering, physics, healthcare, and defense, helping organizations test scenarios and solve problems without the need for costly or impractical real-world experiments.
More about Modeling Simulation Scientist jobs
What job categories do people searching Modeling Simulation Scientist jobs look for? The top searched job categories for Modeling Simulation Scientist jobs are:
Infographic showing various Modeling Simulation Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Modeling & Simulation Software Developer

Modeling & Simulation Software Developer

Logistics Management Institute

On-site

Other

Posted 27 days ago

Job description

Overview

LMI is seeking a skilled Modeling & Simulation Software Developer in the Washington, DC region to join one of our Modeling & Simulation customer development teams. Successful Forward Deployed Engineers demonstrate competency in integrating advanced technologies into existing business processes, building new functionality, ensuring successful software development, analysis, or deployments, and working closely with customers. This role requires a combination of technical skills, strong communication, and the ability to quickly turn ideas into production caliber code. This role will work as part of the Sales Engineering team and engage directly with customers on-site, in a hybrid format, or remotely, as required by each customer including the potential for occasional short-term travel to customer locations across the United States.

This is a 100% remote role with quarterly travel for in person team planning and collaboration events. This position requires the ability to obtain a Secret clearance; active Secret clearance preferred. You must be a U.S. citizen.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Why Join Us 

At LMI, you will work on innovative solutions that directly impact national security, logistics, and decision-making for some of the government's most complex challenges. You will be part of a collaborative team building a secure, cloud-native platform that redefines how modeling and simulation informs operations. 

Responsibilities
  • Design, implement, and maintain analytical models within our M&S capability called RAPTR. 
  • Perform testing and validation of models and code to ensure accurate outputs.
  • Perform operations research analyses with RAPTR to answer client questions and recommend efficient courses of action.
  • Participate in client meetings to understand requirements and to brief your technical findings and analyses.
  • Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for large-scale simulations. 
  • Implement monitoring, logging, and alerting to ensure system reliability and availability. 
  • Troubleshoot issues across cloud infrastructure, networks, and simulation workloads. 
  • Stay current with advances in cloud technologies and recommend improvements to enhance RAPTR capabilities. 
Qualifications

Minimum Qualifications:

  • Eligibility to obtain a Secret clearance, Active Secret clearance preferred.
  • Bachelor's degree in Computer Science, ORSA, Data Science, or related field (or equivalent work experience).
  • 5+ years in performing complex data analytics such as building AI/ML models, or physics-based models.
  • Previous experience with modeling and simulation (M&S) tools.
  • Experience building simulation models.
  • Experience with briefing and engaging with DoD customers. 
  • Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
  •  

Desired Qualifications:

  • Experience with cloud infrastructure (AWS, Azure, or GCP).
  • Ability to obtain TS/SCI clearance.
  • Knowledge of DoD cloud security requirements (IL4/IL5, FedRAMP, CMMC). 
  • Experience working in Agile development teams.
  • Domain experience with logistics or supply chains a plus. 
    •  

    Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

    Employment Type: OTHER

    Apply