Operations Research Analyst

• Modeling and Algorithm Development : Design and code mathematical models and algorithms that optimize military operations, such as resource allocation, mission planning, and logistics optimization.
  
• Coding and Implementation : Implement mathematical formulas, optimization models, and simulations in programming languages like Python, MATLAB, R, or C++.
  
• Presentation Layer Development : Create intuitive and visually appealing presentation layers for communicating model results and insights to military stakeholders and decision-makers.
  
• Simulation and Optimization : Build simulation environments to evaluate and predict the outcomes of different military strategies and operational scenarios.
  
• Data Integration and Analysis : Analyze large datasets from sensors (ELINT, COMINT, radar, sonar) and navigation systems, integrating them into your models for real-time decision-making and optimization.
  
• Collaborative Innovation : Work with engineers, data scientists, and defense personnel to push the boundaries of military technology and deliver impactful solutions.
  
• Risk and Threat Analysis : Conduct risk assessments and develop algorithms to mitigate potential vulnerabilities in defense operations.

Requirements Required Skills and Qualifications

• Education : Master\u2019s or Ph.D. in Operations Research, Applied Mathematics, Systems Engineering, or a related field.
  
• Experience : 3-5 years of experience in operations research or military analysis, particularly in a defense or government context.
  

Technical Proficiency :

• Experience coding mathematical models, algorithms, and simulations in Python, MATLAB, R, or C++.
  
• Proficiency in creating user-friendly and interactive presentation layers (e.g., dashboards, visualizations) using tools like Tableau, Power BI, or custom-built interfaces.
  
• Strong understanding of operations research techniques such as optimization, stochastic modeling, and simulation.
  
• Expertise with optimization tools like Gurobi, CPLEX, and simulation software like Arena or AnyLogic.
  

Defense related Knowledge :

• Familiarity with defense technologies such as drones, AI-command systems, and autonomous vehicles.
  
• Experience with military operations, logistics, and supply chain management.
  
• Problem-Solving Skills : Strong critical thinking and problem-solving skills with a focus on developing innovative solutions to complex military challenges.
  
• Communication Skills : Ability to present clearly technical findings and insights to both technical and non-technical stakeholders.

Preferred Qualifications

• Prior experience in defense contracting or working directly with military clients (army, navy, or air force).
  
• Experience with data visualization and creating customized interfaces for simulation results and decision-support models.
  
• Knowledge of AI and machine learning techniques as applied to defense systems.