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Company: SPA
Location: Chantilly, VA
Career Level: Associate
Industries: Manufacturing, Engineering, Aerospace

Description

Qualifications

Required Qualifications:

  • 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)
  • Bachelor of Science and 8-10 years of experience, or a Master of Science and 6-8 years of experience, or a PhD and 3-5 years of experience
  • Requires an active TS/SCI and favorably adjudicated CI poly at time of application

 

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


Responsibilities

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

 

Duties include:

  • Perform modeling, simulation, analysis and studies of end-to-end system capabilities to determine the ability of the NRO to effectively execute multiple missions
  • Deliver end-to-end model-based system engineering and digital engineering systems and enterprise capabilities
  • Coordinate, integrate, and execute technical system performance evaluation and product quality analysis activities, this includes predictive performance models (PPMs), collection quality models (CQMs), image equations (IQEs) and predictive track equations
  • Conduct logical analysis of management problems and developing multivariate analysis, linear modeling, and data mining
  • Use computer technology, computer modeling, spreadsheet applications, software tools, and programming languages to analyze data and conducts advanced statistical analyses and applies mathematical calculations
  • Present findings and recommendations to appropriate groups and helps to determine what actionable steps can be taken based on the findings
  • Communicate and train users on model results
  • Prepare written, non-technical reports to management, indicating analytical finding and models to guide predictive analytics model development
  • Interface with customer and helps define work process; estimate time frames, quality and quantity of resources required to successfully implement project; develops project plan incorporating all project variables; establish criteria concerning deliverability, performance, maintenance, design and costs
  • Conduct periodic status checks with customers and team to assess progress against plan; perform re-forecasts of project variables as necessary throughout project and prepare routine status reports on all project activities; may be assigned responsibility for the management of the function, including associated staff


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