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Computational Modeling Data Analyst
Remote / Online - Candidates ideally in
Quantico, Prince William County, Virginia, 22134, USA
Listed on 2026-06-26
Quantico, Prince William County, Virginia, 22134, USA
Listing for:
Innovative Reasoning
Full Time, Remote/Work from Home
position Listed on 2026-06-26
Job specializations:
-
Business
Data Scientist, Data Analyst
Job Description & How to Apply Below
Provide on-site Computational Modeling Data Analysis, and subject matter expertise in support to Maritime Expeditionary Warfare, Headquarters Marine Corps, Deputy Commandant for Combat Development & Integration, Marine Corps Combat Development Command, located at Quantico, VA.
Responsibilities / Duties- Reporting and Dashboards — Identify and extract essential information from web instances or Excel files. Once identified, data must be shown effectively/efficiently through presentations, working papers, and various dashboard technologies to inform leaders.
- Simulation modeling and analysis — Apply quantitative data science techniques (statistics, mathematics, computer science, and physics) to analyze naval capability portfolio performance, cost and optimization, multi-objective decision-making, sensitivity analysis.
- Risk Analysis — Apply qualitative, quantitative and decision risk analysis techniques for risk identification/evaluation, risk handling, risk monitoring and risk management. Conduct quantitative risk analysis including probabilistic risk assessment of platform performance, cost, and schedule; decision risk analysis applies risk and cost‑benefit techniques in decision making associated with significant risk or uncertainty.
- Probability and statistical analysis — Provide analytic process models, including various probability distributions (normal, binomial, Poisson, exponential, lognormal), probabilistic measures of system performance, data summaries (graphical and numerical), confidence intervals, hypothesis tests, regression analysis (single and multiple predictors), single‑factor analysis of variance, and basic time‑series analysis.
- Provide essential actions required to develop relational databases and management systems using Microsoft Excel, Access, or other Department of Defense-approved database tools. Includes extracting information from multiple and diverse large data sets, as well as storing, retrieving, managing, and controlling data.
- None
- REQUIRED – Bachelor of Science (BS) in Data Science/Analytics, Mathematics, Statistics, or Engineering.
- BS in Computational Modeling & Data Analytics.
- Must be comfortable presenting work to an audience; must have ability to present and engage in a technical presentation to a non‑technical audience.
- Experience in RStudio (preferred), or Python.
- Experience in building dashboards:
Power BI, R Shiny, Tableau, etc.
The primary workplace will be the Marine Corps Combat Development Command, General Raymond G. Davis Center (Bldg. 3300), 3300 Russell Rd, Quantico, VA 22134.
Work Environment- On‑site Office Environment, amongst mixed military/civilian/contractor personnel.
- Employees will be exposed to a wide variety of people with differing functions, personalities, and abilities.
- Remote work may be authorized, in coordination with client.
- Work is generally sedentary; there could be a requirement to assist in moving and repositioning computer systems, servers, and other office equipment weighing no more than 50 pounds per person (e.g., two‑man lift 100 lbs.).
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Full Time/40 hours per week. Mon‑Fri/8 hours a day. Normal working hours are 8:00 AM – 4:00 PM (0800 – 1600).
License and Other Requirements- Hold a valid US Driver’s License, with ability to operate private, and commercial owned motor vehicles (Rental), as required for commuting and travel.
- Must be able to obtain a contractor's common access card, which will stand as identification for instructors and will enable them to access government owned computer equipment and Non‑secure Internet Protocol.
As stated during the interview/hi
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