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Discrete Event Simulation Jobs in Washington (NOW HIRING)

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued. * Google Cloud Platform : Experience using and ...

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Discrete Event Simulation information

What is a discrete event simulation?

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?

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 discrete event simulation?

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 popular job titles related to Discrete Event Simulation jobs in Washington? For Discrete Event Simulation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Discrete Event Simulation jobs in Washington look for? The top searched job categories for Discrete Event Simulation jobs in Washington are:
Discrete Event Simulation jobs near you
Infographic showing various Discrete Event Simulation job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Operations Research / Systems Analyst (ORSA) - Modeling and Simulation (5403)

SMX

Hanover, MD • On-site

$98K - $115K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Job description

The Operations Research (OR) Analyst - Modeling & Simulation Focus provides advanced process modeling, simulation, statistical analysis, and predictive analytics across a Federal Agency's personnel vetting, industrial security, and counterintelligence operations. This position develops queueing models, discrete-event simulations, and predictive models that enable the Federal Agency to identify process bottlenecks, forecast operational outcomes, and transition from reactive reporting toward proactive, data-driven decision support.
Essential Duties & Responsibilities
Process Modeling & Simulation
  • Develop queueing models and discrete-event simulations to identify bottlenecks and inefficiencies within operational pipelines (personnel vetting, facility inspections, investigative workflows)
  • Analyze and recommend process improvements that reduce turnaround times while maintaining required quality and compliance standards
  • Conduct scenario analysis and what-if modeling to evaluate the impact of proposed process changes, policy modifications, or resource reallocations
  • Build simulation models that capture stochastic variation, resource constraints, and operational policies to provide realistic operational forecasts

Statistical & Predictive Modeling
  • Apply statistical analysis and risk modeling to prioritize assessments, optimize resource deployment, and identify emerging risk or threat vectors
  • Utilize advanced mathematical and statistical modeling to detect anomalies, patterns, and trends within large, complex, and disparate data sets
  • Develop predictive models that enhance the organization's ability to forecast workload, prioritize cases, and respond to emerging conditions and threats
  • Apply machine learning techniques for classification, clustering, anomaly detection, and pattern recognition in support of counterintelligence and insider threat missions

Model Validation & Analysis
  • Validate model assumptions and outputs against historical operational data and subject matter expert input
  • Conduct sensitivity analysis to understand model behavior under varying assumptions and parameter values
  • Quantify and communicate uncertainty in model predictions and recommendations
  • Document modeling methodologies, assumptions, and limitations to ensure transparency and reproducibility

Collaboration & Communication
  • Work closely with data engineering specialists to define analytical dataset requirements and ensure data suitability for modeling
  • Translate analytical outputs into objective, data-driven recommendations that support strategic and operational decision-making
  • Present complex modeling results to technical and non-technical audiences through visualizations and clear narratives
  • Participate in cross-functional team activities to maintain technical standards and share knowledge

Required Skills/Experience
  • 8+ years of progressive, hands-on operations research experience, including demonstrated application of queueing theory, simulation, statistical modeling, and predictive analytics to real-world operational problems
  • 3-5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
  • Expert-level knowledge of queueing theory and discrete-event simulation, with demonstrated ability to model complex operational processes
  • Hands-on experience with simulation tools (Arena, AnyLogic, SimPy, or similar)
  • Strong foundation in statistical modeling, hypothesis testing, experimental design, and time-series analysis
  • Demonstrated, hands-on proficiency in an analytical programming language (Python, R, or SAS), including statistical and machine learning libraries
  • Proven ability to build and validate predictive models that forecast operational outcomes
  • Experience working with complex, messy real-world datasets (missing data, inconsistent formats, temporal misalignment)
  • Ability to translate analytical findings into objective, data-backed recommendations for strategic decision-making
  • Experience working in secure (classified) government environments
  • Secret clearance required (active or ability to obtain)

Desired Skills/Experience
  • Advanced degree in Operations Research, Applied Mathematics, Statistics, Industrial Engineering, or a related quantitative discipline
  • Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) for anomaly detection and pattern recognition
  • Knowledge of Bayesian statistical methods and uncertainty quantification
  • Experience with Monte Carlo simulation and stochastic modeling
  • Familiarity with agent-based modeling
  • Model validation and verification methodologies (V&V best practices)
  • Data visualization tools (Tableau, Power BI, matplotlib, seaborn)
  • Knowledge of optimization methods (linear programming, heuristics) to better integrate with optimization specialists
  • SQL and database querying skills to support data preparation for modeling
  • Experience with feature engineering and data preparation for statistical and machine learning models

Funding Level: Funded
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$123,000-$206,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

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