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Internship Monte Carlo Simulation Jobs in Virginia

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

... Monte Carlo simulation * Apply modern statistical and computational methods to emerging tracking ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

... Monte Carlo simulation * Apply modern statistical and computational methods to emerging tracking ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

Peraton

Schedule & Risk Manager

Herndon, VA

Execute Schedule Risk Analysis (SRA) including Monte Carlo simulation to quantify schedule uncertainty, establish confidence intervals, and support realistic milestone commitment decisions * Maintain ...

Peraton

Schedule & Risk Manager

Herndon, VA

Execute Schedule Risk Analysis (SRA) including Monte Carlo simulation to quantify schedule uncertainty, establish confidence intervals, and support realistic milestone commitment decisions * Maintain ...

Peraton

Schedule & Risk Manager

Herndon, VA · On-site

$112K - $179K/yr

Execute Schedule Risk Analysis (SRA) including Monte Carlo simulation to quantify schedule uncertainty, establish confidence intervals, and support realistic milestone commitment decisions * Maintain ...

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

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.

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 ...

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

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, 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 ...

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Internship Monte Carlo Simulation information

What is an internship Monte Carlo simulation?

An Internship Monte Carlo Simulation is a training or work experience opportunity where interns use Monte Carlo simulation techniques to model, analyze, and solve complex problems involving randomness and uncertainty. Monte Carlo simulations use repeated random sampling to obtain numerical results and are widely used in fields like finance, engineering, science, and data analysis. During such an internship, participants may work on projects involving risk assessment, forecasting, optimization, or statistical analysis, often utilizing programming languages such as Python, R, or MATLAB. This experience helps interns develop practical skills in quantitative modeling, data analysis, and decision-making under uncertainty.

What are some typical projects or tasks an intern working with Monte Carlo simulation might encounter during their internship?

As an intern specializing in Monte Carlo simulation, you can expect to work on projects such as developing and running stochastic models to analyze risk, optimize processes, or predict outcomes in areas like finance, engineering, or operations. Your daily tasks may include writing code (often in Python, R, or MATLAB), analyzing simulation results, and presenting findings to team members. You'll likely collaborate closely with data scientists, analysts, and subject matter experts to refine models and interpret results. This hands-on experience will help you build both technical and communication skills, laying a strong foundation for future roles in quantitative analysis or data science.

What are the key skills and qualifications needed to thrive as an internship Monte Carlo simulation, and why are they important?

To thrive in a Monte Carlo Simulation internship, you need a solid background in probability, statistics, and mathematical modeling, typically supported by coursework in mathematics, engineering, or computer science. Familiarity with programming languages such as Python, MATLAB, or R, and experience with simulation software are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These competencies are crucial for accurately modeling complex systems, troubleshooting code, and translating findings into actionable insights.

What is the difference between Internship Monte Carlo Simulation vs Internship Data Analysis?

AspectInternship Monte Carlo SimulationInternship Data Analysis
Required SkillsProbability, statistics, programming (Python, R)Statistics, data manipulation, visualization
Work EnvironmentFinancial, insurance, risk modelingBusiness, marketing, research
Industry UsageRisk assessment, quantitative modelingData-driven decision making

Internship Monte Carlo Simulation focuses on using probabilistic models to assess risks and uncertainties, often in finance or insurance. In contrast, Internship Data Analysis involves interpreting data sets to inform business decisions. Both roles require strong statistical skills but differ in application and industry focus.

What are the most commonly searched types of Monte Carlo Simulation jobs in Virginia?

The most popular types of Monte Carlo Simulation jobs in Virginia are:

What are popular job titles related to Internship Monte Carlo Simulation jobs in Virginia?

For Internship Monte Carlo Simulation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Monte Carlo Simulation jobs in Virginia look for?

The top searched job categories for Internship Monte Carlo Simulation jobs in Virginia are:

What cities in Virginia are hiring for Internship Monte Carlo Simulation jobs?

Cities in Virginia with the most Internship Monte Carlo Simulation job openings:

Internship Monte Carlo Simulation jobs near you

Research Statistician - Tracking and Estimation Theory with Security Clearance

GA Intelligence

Charlottesville, VA • On-site

Other

Re-posted 15 days ago

Job description

Are you a statistician who wants to see your Bayesian models protect national security? GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions. You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints. Your work will span algorithm research, operational analysis, and production deployment—from deriving novel filters to validating performance on classified sensor data to partnering with engineers who implement your algorithms at scale.
 
DUTIES AND RESPONSIBILITIES: 
Algorithm Research and Development: * Guide the development of state-of-the-art tracking algorithms from existing tracking literature, ensuring technical correctness.
* Develop statistical approaches to data association in multi-target, multi-sensor environments
* Derive probabilistic models for target behavior and sensor measurement processes
* Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo simulation
* Apply modern statistical and computational methods to emerging tracking challenges
Operational Impact: * Collaborate with intelligence analysts to understand tracking requirements and operational constraints
* Analyze tracking performance on real-world sensor data from classified systems
* Quantify and communicate uncertainty, assumptions, and limitations to support operational decision-making
* Translate operational gaps into tractable statistical problems
* Partner with software engineers to transition algorithms from prototype to production
Research Leadership: * Publish internal research on tracking advances and algorithmic innovations
* Present findings to technical staff, program managers, and government decision-makers, as well as external conferences
* Contribute to proposal development and help shape future research directions
* Mentor junior team members and future hires
* Stay current with tracking research literature and evaluate applicability to operational problemsWe recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

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