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Modeling Simulation Scientist Jobs (NOW HIRING)

Bachelor's degree in Statistics, Mathematics, Engineering, Operations Research, Physical Sciences ... Experience supporting Modeling & Simulation Verification, Validation, and Accreditation (VV&A ...

Bachelor's degree in Statistics, Mathematics, Engineering, Operations Research, Physical Sciences ... Experience supporting Modeling & Simulation Verification, Validation, and Accreditation (VV&A ...

... Sciences, or a related technical field. • Experience applying statistical analysis methods to ... Modeling & Simulation Verification, Validation, and Accreditation (VV&A) activities. • Strong ...

Position Overview We are seeking a Physics Simulation Scientist to lead advancements in the simulation and physics-solving backbone behind Skild's robot foundation model training. You will ...

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Possess a Bachelor of Science degree in Engineering, Physics, Mathematics, or Computer Science or ...

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Possess a Bachelor of Science degree in Engineering, Physics, Mathematics, or Computer Science or ...

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Modeling Simulation Scientist information

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$50.5K

$130.1K

$174K

How much do modeling simulation scientist jobs pay per year?

As of Jul 9, 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 July 2026, with employment types broken down into 5% Internship, 85% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Modeling & Simulation Analyst

Modeling & Simulation Analyst

AERMOR LLC

Norfolk, VA • On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Location: Norfolk, VA
Employment Type: Full-Time
Clearance: Active Secret Clearance
AERMOR is seeking a Modeling & Simulation Analyst to support Navy operational test and evaluation efforts. In this role, you will apply statistical analysis and Modeling & Simulation (M&S) methodologies to help assess system performance, support test planning, and contribute to mission-focused decision-making. You will work alongside government and contractor teams to develop test strategies, evaluate simulation data, and support Verification, Validation, and Accreditation (VV&A) activities for Navy programs.
This position is based in Norfolk, VA and requires on-site support.
Responsibilities:
  • Support Mission Based Test Design (MBTD) activities, including mission and requirements analysis.
  • Analyze operational and simulation data to assess system performance and support test objectives.
  • Support the development and evaluation of statistical test designs.
  • Perform statistical analyses, including hypothesis testing, regression modeling, and other analytical techniques.
  • Support Verification, Validation, and Accreditation (VV&A) efforts for Modeling & Simulation tools and systems.
  • Review V&V plans and reports to determine whether simulation data is sufficient to support accreditation decisions.
  • Develop M&S Accreditation Plans and supporting documentation.
  • Identify critical measures, response variables, and operational conditions that support testing objectives.
  • Collaborate with government stakeholders and technical teams to support test planning and execution.
  • Prepare technical reports, analyses, and briefings for program stakeholders.

Required Qualifications:
  • Bachelor's degree in Statistics, Mathematics, Engineering, Operations Research, Physical Sciences, or a related technical field.
  • Experience applying statistical analysis methods to testing, experimentation, system evaluation, or operational analysis efforts.
  • Experience performing statistical analyses using techniques such as hypothesis testing, regression analysis, or predictive modeling.
  • Experience using one or more statistical analysis tools such as JMP, R, MATLAB, SAS, or Design-Expert.
  • Experience supporting Modeling & Simulation Verification, Validation, and Accreditation (VV&A) activities.
  • Strong analytical and problem-solving skills.
  • Strong technical writing and communication skills.
  • Proficiency with Microsoft Office applications, including Word, Excel, and PowerPoint.
  • Ability to work effectively with government, military, and contractor personnel.

Preferred Qualifications:
  • Experience developing or supporting Design of Experiments (DOE) methodologies.
  • Experience supporting Department of Defense (DoD) test and evaluation programs, including Developmental Test (DT), Operational Test (OT), or Contractor Test (CT) activities.
  • Familiarity with Navy acquisition processes and operational testing organizations.
  • Knowledge of Mission Based Test Design (MBTD) methodologies.
  • Experience with Navy operations, tactical systems, or military mission analysis.
  • Experience developing automated data analysis scripts, workflows, or database-driven reporting solutions.
  • Familiarity with advanced statistical techniques such as mixed models, penalized regression, logistic regression, recursive partitioning, or machine learning approaches.

Compensation:
Compensation for this position is based on several considerations, including applicable contract wage rates and labor categories, geographic location, relevant professional experience, technical expertise, education, certifications, and overall alignment with the role's requirements.
AERMOR is committed to providing competitive pay along with a benefits package designed to support employees throughout their careers. Eligible employees may receive medical, dental, and vision insurance, a 401(k) plan, paid time off, and professional development opportunities.
Salary Range: $95,000-$130,000/yr

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About AERMOR

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Virginia Beach, VA, US

Year founded

2010

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