Junior Space Predictive Modeling & Sim Analyst Job Listing at SPA in Chantilly, VA (Job ID 2025-19684)

Description

Qualifications

Required Qualifications:

• Active TS/SCI and favorably adjudicated CI poly at time of application
• Bachelor's degree and 6+ years of related experience; or Master's degree and 4+ years of related experience; or PhD and 0 years of related experience
• Experience using modeling and simulation (M&S) tools via academia, industry, government, or military service
• Programming experience with advanced engineering software providing mod/sim/analysis, preferably on space and space control systems
• Scripting/programming experience (C++, Python, MATLAB, STK)

Desired Qualifications:

• Advanced degree, preferably in related technical field
• Experience working in teams to accomplish a systems engineering result
• Developing mathematical models to solve targeted problems
• Software development/programming interest and experience in JavaScript, HTML/CSS, Microsoft Office 365, C++/C#, Visual Studio.NET, MATLAB, Python, R, or SQL development and code management techniques using (Git, Bitbucket, etc) and agile software development practices/tools (Jira, Confluence, etc) including DevSecOps
• Knowledge of Model Based Systems Engineering (MBSE) and Digital Engineering (DE) methods
• Knowledge of databases, data structures, and data architectures
• Ability to apply scientific methodology to complex scenarios
• Demonstrated experience in modeling, simulation, and analysis of complex, system-of-systems designs; preferably of IC Space systems
• Subject Matter Expertise with DoD and IC Space programs, systems and missions

SPA is seeking a Predictive Modeling & Simulation Analyst to work at the National Reconnaissance Office (NRO).

Duties include:

• Plans and executes modeling and simulation systems development projects.
• Possesses and applies knowledge of simulation methods for analysis of complex human0machine systems and training.
• Designs and develops simulation systems and modeling of simulation objects.
• Performs analysis applying appropriate scientific and engineering processes and modeling techniques to the lifecycle development of systems.
• Performs analysis and trade-off studies related to operational issues and reviews test plans to ensure MOEs address operational requirements using modeling and simulation tools and techniques.
• Reviews plans for system integration, operation, and maintenance.
• Assists in the development of training for oeprational personnel.