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 5-7 years of experience, or a Master of Science and 3-5 years of experience, or a PhD and 0-2 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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