Computational Modeling Data Analyst

Innovative Reasoning•Quantico, VA

3d•Onsite

About The Position

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.

Requirements

Bachelor of Science (BS) in Data Science/Analytics, Mathematics, Statistics, or Engineering.
Comfortable presenting work to audience.
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.
Hold a valid US Driver’s License.
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.
Possess or be eligible to possess an active U.S. Secret level security clearance.

Nice To Haves

BS in Computational Modeling & Data Analytics.

Responsibilities

Identify and extract essential information from web instances or Excel files.
Effectively and efficiently present identified data through presentations, working papers, and various dashboard technologies to inform leaders.
Apply quantitative data science techniques (statistics, mathematics, computer science, and physics) to analyze naval capability portfolio performance, cost and optimization, multi-objective decision-making, and sensitivity 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.
Conduct Decision Risk Analysis including applying risk and cost benefit techniques in decision making associated with significant risk or uncertainty.
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.
Extract information from multiple and diverse large data sets, as well as storing, retrieving, managing, and controlling data.