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Modeling Simulation Scientist Jobs (NOW HIRING)

Mason-Grey Corporation

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Simulation Engineer

Raritan, NJ · On-site

$43 - $47/hr

We are seeking a Simulation Scientist with at least 3 years of experience using Simio to develop, validate, and deploy discrete-event simulation models that support operational decision-making ...

SPA

Modeling & Simulation Engineer

Quantico, VA · On-site

$110K - $140K/yr

Group W provides wargaming, warfare modeling and simulation, software development, data analytics ... In addition, the analyst will advise operations research analysts, scientists, or engineers on ...

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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 Aug 19, 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 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.

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 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 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.

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 August 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.

Simulation Engineer

Mason-Grey Corporation

Raritan, NJ • On-site

$43 - $47/hr

Contractor

Medical, Dental, Vision

Posted 4 days ago

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Job description

Mason-Grey is hiring a Simulation Scientist / Simulation Engineer with expertise in discrete event simulation modelling.


POSITION:           Simulation Scientist / Digital Twin Engineer

POSTING: 72551 (JNJNJP00072551)

LOCATION:         Raritan NJ*

*Hybrid – 3 days onsite, 2 days remote


COMPENSATION: The hourly rate is a maximum range of $43.00 to $47.00. This will annualize to an estimated range of $86,000 to $94,000 based on 40 hour work weeks and 50 of 52 working weeks per year.  OT is payable at 1.5X base rate and will add to the overall compensation based on actual hours worked.  

JOB DESCRIPTION/EXPERIENCE: 

We are seeking a Simulation Scientist with at least 3 years of experience using Simio to develop, validate, and deploy discrete-event simulation models that support operational decision-making, process optimization, and capacity planning. The successful candidate will leverage simulation, data analytics, and digital technologies to evaluate complex systems, identify improvement opportunities, and communicate actionable insights to stakeholders. Relevant experience with discrete-event simulation tools such as SIMIO.

Key Responsibilities:

  • Develop and maintain Simio models for manufacturing, supply chain, or operational processes.
  • Analyze simulation results to identify bottlenecks, optimize resource utilization, and support business decisions.
  • Extract, transform, and analyze data using SQL and Databricks.
  • Collaborate with cross-functional teams to define simulation requirements and translate business challenges into analytical solutions.
  • Prepare technical reports, visualizations, and presentations to communicate findings and recommendations.

Qualifications:

  • Bachelor's or Master's degree in Engineering, Operations Research, Data Science, Applied Mathematics, or a related field.
  • 3+ years of hands-on experience with Simio.
  • Working knowledge of Databricks, SQL, and data analysis workflows.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work in multidisciplinary teams.

Preferred:

  • Experience with Python, process optimization, digital twins, or manufacturing systems analysis.
  • Familiarity with cloud-based analytics and data engineering practices

All candidates shall be legally authorized to work in the US and are subject to background screening, drug testing and verification of legal status in the United States using eVerify. 

Company Description

At Mason-Grey Corporation, we deliver smart engineering solutions to American process industries that keep the world moving—energy, metals, plastics, biotech, pharmaceuticals, and more. From coast to coast, we support Fortune 500 giants and mid-sized innovators alike, tackling complex process projects. Our team lives and works nationwide from Massachusetts to California. Proudly headquartered in Atlanta, Georgia, Mason-Grey is the trusted partner behind some of America’s most critical industrial operations.