Mid Level Modeling and Simulation Analyst

ISSAC is seeking a highly motivated Modeling & Simulation (M&S) Analyst to support the Missile Defense Agency (MDA) in assessing the capabilities of the Missile Defense System (MDS). This critical role will involve working with Hardware-In-the-Loop (HWIL) simulation data in support of MDS Ground Test (GT) events, Continuous Developmental Integration (CDI) activities, and MDS Flight Tests. The focus will be hands-on support for MDA's distributed software simulation framework, OSF.

• Provide M&S framework analysis support for CDI activities, GT events, and Flight Tests.
• Perform analysis on the status of current and future capabilities in OSF.
• Review test data to detect and troubleshoot issues associated with simulation performance and accuracy.
• Ensure event data quality and integrity through verification and validation analysis of test data.
• Develop and run Python tools to support M&S analysis activities.
• Document and communicate analysis results across interdisciplinary teams.
• Collaborate with teams of analysts and engineers to ensure the successful execution of test simulation campaigns.

• Familiarity with Python scripting language.
• Familiarity with Linux.
• Excellent communication, organizational, and technical writing skills
• Possess the ability to clearly express ideas/concepts, perform as part of a team, and be capable of operating in a multi-tasking environment.
• Ability to work within a collaborative environment composed of Government, Prime Contractor, and Supporting Contractor personnel.
• Ability to multitask and prioritize effectively.
• Proactive and self-motivated, takes an active role to ensure that responsibilities are completed on or ahead of schedule.

• Familiarity with MDA Ground Test CONOPS.
• Familiarity with Objective Simulation Framework (OSF).
• Knowledge of the HWIL architecture infrastructure truth presentation to element models (SMHR, signatures, environment).
• Knowledge of HWIL architecture infrastructure, including truth presentation utilizing Distributed Interactive Simulation (DIS) adapter, and/or Ground Test Integrated System Simulation (GTISS) adapter.
• Experience with data analysis libraries in Python (e.g., Pandas, Num Py).
• Basic understanding of AI/ML concepts.
• Familiarity with Cloud computing concepts.
• Experience with data visualization tools (e.g., Grafana, Tableau, Power BI).

• BS in Engineering, Mathematics, Physics, or Computer Science from an accredited university