Job Description
*US Citizenship Required
Position Description:
The Operations Research Analyst will apply mathematical and statistical modeling techniques to analyze optimization efforts to maximize Maritime Domain operational requirements that improve efficiency, optimize resource allocation, and drive strategic decision-making. This role requires proficiency in mathematical and statistical software models, and excellent communication skills to translate complex findings into actionable insights for all stakeholders. Additionally, the role will gather operational data to validate the current simulated data model. The applicant must have experience working with sensor data and geospatial information systems (GIS), and excellent communication skills to translate complex findings into actionable insights for stakeholders. Applicants should have a minimum of 5 years of experience in related field.
Technical Requirements and Responsibilities:
• Develop and maintain simulation models using Python. Proficiency with relevant Python libraries such as NumPy, SciPy, Pandas, Matplotlib, and specialized simulation packages (e.g., SimPy, AnyLogic, etc.) and experience in building and integrating complex simulation models is required.
• Creation of Interactive Visualizations and User Interfaces using JavaScript: Expertise in JavaScript frameworks and libraries such as React, Angular, Vue.js, D3.js, and Three.js is required.
• Modification and extension of existing simulation models and codebases: The ability to work with preexisting simulation models and adapt them to new requirements and
scenarios is essential. This includes understanding existing code and implementing modifications efficiently.
• Data Analysis and Interpretation: Strong analytical skills are necessary to extract meaningful insights from simulation data and present findings in a clear and concise
manner.
• Collection and Integration of Real-World Data to modify simulated datasets within the current modeling and simulation software. This includes experience in acquiring, cleaning, and integrating data from various sources, such as sensor data, operational logs, and environmental monitoring systems.
• AI-Based Simulation of Environmental Conditions: Experience in developing and implementing AI-driven models to simulate environmental factors that impact
operations.
• Modification of Existing Python Applications: Ability to modify existing Python applications, including the integration of new packages (e.g., for image processing, data
analysis) and the implementation of modifications to existing code, potentially including changes to side integer PI values within existing code.
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