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Discrete Event Simulation Jobs in Virginia (NOW HIRING)

N-C

Industrial Engineer

Chesapeake, VA · On-site

$68K - $91K/yr

Utilize discrete event simulation techniques to model and analyze complex systems, identifying bottlenecks and optimizing throughput. * Conduct thorough cost analysis, including ROI calculations, to ...

STR

Researcher

Arlington, VA · On-site

... discrete event simulation, or similar complex environments) • Proficient in object-oriented programming with demonstrated experience in at least two of: C/C++, Python, MATLAB • Demonstrated ...

SimIS Inc.

Senior Operations Research Analyst (N)

Norfolk, VA · On-site

$112K - $112K/yr

Conduct complex modeling, simulation, and quantitative analysis using tools and methodologies such as Monte Carlo simulation, discrete event simulation, optimization algorithms, predictive modeling ...

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Discrete Event Simulation information

See Virginia salary details

$38.7K

$100.4K

$142.8K

How much do discrete event simulation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for discrete event simulation in Virginia is $100,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $128,400.00 per year, depending on experience, location, and employer.

What is a Discrete Event Simulation job?

A Discrete Event Simulation (DES) job involves developing models to simulate complex systems where changes occur at distinct points in time. Professionals in this role use specialized software and mathematical modeling to analyze processes in areas like manufacturing, logistics, healthcare, and defense. Their goal is to identify inefficiencies, optimize performance, and support decision-making by predicting system behaviors under various conditions. The job typically requires expertise in programming, statistics, and system dynamics.

What are the common challenges faced by professionals working in Discrete Event Simulation roles?

One of the most common challenges in Discrete Event Simulation roles is accurately modeling complex real-world systems while balancing model detail and computational efficiency. Professionals often need to collect, validate, and process large datasets, requiring both technical acumen and critical thinking. Additionally, communicating simulation results and recommendations to non-technical stakeholders can be demanding but is crucial for implementing process improvements. Collaborative work with cross-functional teams, such as engineers and managers, is common, making strong teamwork and adaptability important assets in this role.

What are the key skills and qualifications needed to thrive in the Discrete Event Simulation position, and why are they important?

To excel in Discrete Event Simulation, candidates typically need a strong background in mathematics, statistics, computer science, and a relevant degree such as industrial engineering or operations research. Familiarity with simulation software like Arena, Simul8, or AnyLogic—as well as programming skills in languages such as Python or C++—is often required, and certifications in simulation or data analytics are advantageous. Strong analytical thinking, effective communication, and attention to detail are valuable soft skills in this field. These competencies enable professionals to develop accurate simulation models, interpret complex data, and effectively communicate findings to stakeholders, ensuring impactful decision support.

What are the 4 types of simulation?

In discrete event simulation, the four main types are Monte Carlo simulation, system dynamics, agent-based simulation, and process simulation. These types differ in how they model systems, with discrete event simulation focusing on events and state changes over time, often used in operations research and logistics. Understanding these types helps professionals select appropriate tools and techniques for modeling complex systems.
What are the most commonly searched types of Discrete Event Simulation jobs in Virginia? The most popular types of Discrete Event Simulation jobs in Virginia are:
What are popular job titles related to Discrete Event Simulation jobs in Virginia? For Discrete Event Simulation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Discrete Event Simulation jobs in Virginia look for? The top searched job categories for Discrete Event Simulation jobs in Virginia are:
Discrete Event Simulation jobs near you
Infographic showing various Discrete Event Simulation job openings in Virginia as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $100,387 per year, or $48.3 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Arlington, VA • On-site

Other

Posted 5 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services

Job description

The work: 

Key Responsibilities:

  • Design, develop, and maintain Python-based software solutions for supply chain analytics applications.
  • Optimize computeintensive simulations (discrete event and Monte Carlo) for performance and scalability.
  • Implement and enhance structured data pipelines using Spark, Pandas, and Numpy.
  • Apply objectoriented programming principles to build robust, maintainable codebases.
  • Collaborate with crossfunctional teams to modernize a strategic contracting analytics application.
  • Integrate detailed Department of Defense (DoD) business logic to project supplychain impacts of acquisition and planning strategies.
  • Utilize GitHub workflows for version control, code review, and collaborative development.
  • Develop and maintain parallel processing solutions to improve simulation efficiency.
  • Build interactive analytics dashboards and tools using Streamlit.
  • Write and maintain unit tests to ensure code quality and reliability.

Here is what you need:

  • US Citizen (No dual citizenship)
  • Bachelors degree required
  • Strong expertise in Python software engineering.
  • Experience with objectoriented development and structured data pipeline design.
  • Proficiency with Spark (or similar tools) for parallel processing.
  • Handson experience with Pandas and Numpy for data manipulation.
  • Experience optimizing computeintensive simulations.
  • Familiarity with GitHub workflows and collaborative development practices.
  • Ability to implement complex business logic in technical applications.
  • Understanding of Python iterators, columnar databases, and parallel computing concepts.

Preferred experience:

  • Exposure to supply chain processes, especially within DoD environments.
  • Experience building interactive dashboards using Streamlit.
  • Background developing robust unit tests for simulationheavy systems.
  • Familiarity with Monte Carlo and discrete event simulation optimization.
  • Experience supporting highstakes or missioncritical analytics platforms.

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