Model-Based Analytics / Simulation Engineer - AGS 0527 SS#

Navitas Healthcare LLC

$90K — $120K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in modelling and simulation engineering
  • Proficient in MATLAB, Simulink, and Python
  • Strong foundation in Operations Research or applied mathematics
  • Expertise in statistical modelling and simulation techniques
  • Experience with predictive analytics and system modelling

Responsibilities

  • Develop and maintain modelling & simulation 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 behavior under varying conditions and scenarios
  • Collaborate with engineering, analytics, and operations teams
  • Translate simulation results into actionable insights

Benefits

  • Work in multiple locations across the United States
  • Opportunity for Top Secret Clearance
  • Engage in highly technical and research-oriented projects
  • Collaborate with subject matter experts and engineering teams
  • Make a significant impact on complex, mission-critical systems
Full Job Description
Job Title: Model-Based Analytics / Simulation Engineer

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 [email protected].

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