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Monte Carlo Simulation Jobs in Silver Spring, MD

General Atomics

Engineer V

Herndon, VA · On-site

$105K - $189K/yr

Analyze the stability and robustness of guidance and control algorithms using control theory and Monte Carlo simulations. * Undertake requirements capture, performance trades and design activities.

KBR, Inc.

JR Cost Analyst

Chantilly, VA · On-site

$92K - $102K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR

Jr Cost Analyst with Security Clearance

Fairfax, VA · On-site

$98K - $146K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR, Inc.

Mid Level Cost Analyst

Mclean, VA · On-site

$135K - $203K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs * Participate in user and stakeholder engagements and technical discussions * Gather and provide ...

KBR, Inc.

Jr Cost Analyst

Mclean, VA · On-site

$98K - $146K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR

JR Cost Analyst with Security Clearance

Chantilly, VA · On-site

$92K - $102K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR

Mid Level Cost Analyst

Chantilly, VA

$135K - $203K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR

Jr Cost Analyst

Mclean, VA

$98K - $146K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR

JR Cost Analyst

Chantilly, VA

$92K - $102K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR, Inc.

Mid Level Cost Analyst

Chantilly, VA · On-site

$135K - $203K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

KBR

Mid Level Cost Analyst

Mclean, VA · On-site

$135K - $203K/yr

Proficient with the application of Monte Carlo simulation techniques * Excellent communication skills with the ability to present results to senior leadership * Ability to work independently and lead ...

Aegis Corps

Risk Analyst

Washington, DC · On-site +1

Experience with development of logistic regression and forecasting Monte-Carlo simulation models. * Knowledge of credit analysis, and experience with constructing and monitoring risk measures.

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All JobsMonte Carlo Simulation JobsMonte Carlo Simulation Jobs in Silver Spring, MD

Monte Carlo Simulation information

See Silver Spring, MD salary details

$11.4K

$69.9K

$125.6K

How much do monte carlo simulation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for monte carlo simulation in Silver Spring, MD is $69,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $82,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Monte Carlo Simulation specialist, you need strong quantitative skills, a background in mathematics, statistics, or engineering, and experience with probability-based modeling. Expertise with programming tools such as Python, MATLAB, R, or specialized simulation software, along with knowledge of data analysis and modeling techniques, is typically required. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting results and presenting findings to stakeholders. These competencies are crucial for creating accurate models, troubleshooting complex problems, and making data-driven recommendations in various industries.

What is a Monte Carlo Simulation job?

A Monte Carlo Simulation job typically involves using statistical techniques to model uncertainty and predict outcomes in various fields such as finance, engineering, and risk analysis. Professionals in this role develop and implement stochastic models to analyze complex systems and optimize decision-making. They often work with programming languages like Python, R, or MATLAB and apply probability theory to simulate real-world scenarios.

What is an example of a Monte Carlo simulation in real life?

A Monte Carlo simulation, used by professionals in fields like finance and engineering, models complex systems by running numerous random scenarios to estimate outcomes. For example, it can predict investment portfolio risks by simulating thousands of market conditions, helping analysts assess potential gains or losses. Skills in statistical analysis and familiarity with simulation software are essential for this role.

What job makes $1,000,000 a year?

In the field of Monte Carlo simulation, high-paying roles such as quantitative analysts, financial engineers, or senior risk managers in finance can earn around or above $1 million annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience with complex modeling tools like MATLAB or Python in a high-pressure environment.

How much do software engineers make at Monte Carlo?

Software engineers at Monte Carlo typically earn salaries ranging from $100,000 to $150,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses and stock options, especially for senior roles or specialized positions involving data analysis and automation tools.

What are the typical daily responsibilities for someone working in Monte Carlo Simulation roles?

Professionals in Monte Carlo Simulation roles typically spend their days developing, running, and analyzing computational models to assess risk, forecast outcomes, or optimize processes. Responsibilities often include collaborating with cross-functional teams to define model parameters, preparing and cleaning large datasets, coding simulation algorithms, and interpreting results to guide business or engineering decisions. You may also present findings to non-technical stakeholders and document methodologies for reproducibility. This role offers a dynamic blend of independent technical work and collaborative problem-solving, making it ideal for those who enjoy both analytical tasks and teamwork.

What are popular job titles related to Monte Carlo Simulation jobs in Silver Spring, MD? For Monte Carlo Simulation jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Monte Carlo Simulation jobs in Silver Spring, MD look for? The top searched job categories for Monte Carlo Simulation jobs in Silver Spring, MD are:
Monte Carlo Simulation jobs near you
Cost Analyst (Engineering Contracts) with Security Clearance

Cost Analyst (Engineering Contracts) with Security Clearance

StellarPeak Corp.

Chantilly, VA • On-site

Other

Posted yesterday

Job description

Cost Analyst Chantilly, VA TS/SCI CI Poly The Senior Cost Analyst provides knowledge and expertise applying principles, theories and methods of cost estimation and analysis. • Relevant foundations that are helpful include:
• Prior cost estimation experience for DoD, IC, or other government agency
• Analytics background, such as operations research or statistics
• Familiar with Excel formulas, statistical features, and macros
• VBA coding behind Excel is a big plus
• Python and/or R coding for statistics is a big plus
• Acquisition or contract management background
• Aerospace background
• Coding & Machine Learning (ML) - this is a new area the customer is looking to leverage to improve its existing cost estimation models and tools
• ML experience in Python and/or R for regression and classification data is preferred here
• SQL database query skills are beneficial • Natural Language Processing (NLP) for text search/matching and analysis, since a lot of the contract data and deliverables are text-based
• Another useful skillset is importing/exporting data to Excel using Python or R, as well as sending data from a SQL database to Tableau
• Earned Value Management (EVM) / Integrated Performance Management (IPM)
• Prior EVM or IPM experience is beneficial here
• Statistics, analytics, and coding are similarly helpful for this career track Qualifications:
• Minimum of 11-16 years’ experience with a Bachelor’s Degree
• Apply principles, theories and methods of cost estimation to complex Government acquisitions
• Develop cost estimating relationships through the application of advanced statistical analysis techniques
• Ability to collect and normalize data and design cost estimating methods and models
• Develop life-cycle cost estimates using a variety of methods (e.g. parametric, analogy, etc)
• Experience leading life-cycle cost estimates for major system acquisitions
• Ability to identify key cost and technical risk areas, and translate the risk areas into program cost impacts
• Proficient with the application of Monte Carlo simulation techniques
• TS/SCI clearance Desired:
• Master’s Degree in Engineering, Physics, Operations Research, Cost Analysis, Mathematics, Finance, Economics, Business Administration or related disciplines
• Cost estimating experience in the following domain areas:
• Space hardware (bus and payload)
• Space systems (e.g. NASA/Air Force, NRO, Commercial)
• Launch systems
• Ground systems (e.g. mission management, command and control, mission processing, ground terminals, communications networks, data centers)
• Software cost estimating
• Parametric and analogy based estimating
• Data collection and normalization
• Model development
• Method development (e.g. multivariate regression analysis, Monte Carlo simulation, cost improvement curve analysis)
• Technical understanding of satellite systems
• Experience using risk analysis software (e.g. @Risk, Crystal Ball)
• Experience using statistical analysis software (e.g. SAS, SPSS, etc)
• ICEAA certification; either Certified Cost Estimator/Analyst (CCEA)

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