Location: Multiple locations across United States Job Type: Full-Time / Contract
Note: We are looking for candidates who are eligible for Top Secret Clearance
Position Overview
We are seeking a highly specialized Model-Based Analytics / Simulation Engineer to support advanced modelling, simulation, and predictive analytics initiatives.
This role focuses on developing digital models and simulations to analyze system performance, predict outcomes, and optimize lifecycle and operational effectiveness.
Key Responsibilities
Develop and maintain modelling & simulation (M&S) frameworks
Build and support digital twin models for complex systems
Perform predictive modelling for sustainment and reliability
Conduct Monte Carlo simulations and mission reliability analysis
Analyze system behaviour under varying conditions and scenarios
Collaborate with engineering, analytics, and operations teams
Translate simulation results into actionable insights
Support lifecycle optimization and performance improvement initiatives
Required Skills & Experience
Strong experience with:
MATLAB
Simulink
Python
Background in Operations Research or applied mathematics
Expertise in statistical modelling and simulation techniques
Experience with predictive analytics and system modelling
Ability to work with complex, multi-variable systems
Preferred / Nice-to-Have
Experience with digital twin technologies
Exposure to mission reliability and lifecycle modelling
Knowledge of advanced simulation techniques
Background in aerospace, defence, or other highly regulated industries
Familiarity with high-performance computing environments
Work Environment
Highly technical, research-oriented role
Collaboration with SMEs and engineering teams
Work on complex, mission-critical systems
Summary
This role is ideal for a subject matter expert in modelling and simulation who enjoys solving complex problems and driving insights through advanced analytical techniques.
For more details reach at shubham.sharma@navitassols.com.