Teledyne Technologies

Operations Research Analyst

Job Locations US-AL-Huntsville
Requisition ID
Company Name
Teledyne Brown Engineering
1st Shift - Morning
Citizenship/Visa Requirement
US Citizen Only

Company Overview

Teledyne Brown Engineering, Inc. is an industry leader in engineered systems and advanced manufacturing. The Company provides full-spectrum systems engineering, integration, manufacturing, and lifecycle sustainment solutions to the marine, aviation, aerospace, and defense, energy and environment markets. Teledyne Brown has expertise in systems integration, technology development, hardware design, prototype development, system test and evaluation, advanced manufacturing, performance-based logistics solutions, and operations and maintenance

Position Summary and Responsibilities

Teledyne Brown Engineering (TBE) is hiring an Operations Research Analyst to provide expertise related to a wide range of problem sets in industrial engineering, operations research, systems engineering, data science, and analytics.


Position Responsibilities


The OR Analyst will apply knowledge and techniques from the fields of systems engineering, decision analysis, reliability engineering, and data analysis to support the design, development, and verification and validation of modeling and simulation software.


The OR Analyst will use knowledge of the fields of systems modeling, system simulation, mathematical optimization, and data science to conduct, direct and supervise analyses for the Naval Health Research Center and other organizations. The analyst will interface with customers and the software development team, develop and execute analysis plans, author technical reports and presentations, present results to customers and at professional conferences, directly support customers with onsite analysis and model development, and occasionally provide training or software support to external users.


Typical Duties

  • Support studies to assess the medical supportability of specific tactical concepts of operation (usually by building simulation models of possible medical networks to support the operation and testing those networks against the casualty estimates of the operation).
  • Support the development of linear programs or other optimization methods in various applications
  • Support systems engineering tasks to design new analysis tool components, then interfacing with the software development team to ensure correct implementation of the design.
  • Support literature-based research to inform modeling
  • Conduct and support analysis of data sets to inform simulation model random processes
  • Develop web-based data visualization dashboards (R Shiny) to communicate analysis to customers.
  • Support the development system models in commercial simulation software packages (Simio) to asses staffing levels, equipment availability, and other aspects of medical treatment facility operations.

*This position requires the ability to obtain a DoD Security Clearance to the level of "Secret"*


Applicants must have a B.S. degree in Industrial Engineering, Operations Research, or a similar program and 2 years of work experience; or an MS degree.


Additional Requirements


The position may require approximately 10% travel. Must be able to perform tasks individually, as well as part of a team.


Candidates must possess:

  • Strong written and verbal communications skills, including data visualization.
  • A robust understanding of basic statistical theory and common applications relevant to simulation modeling.
  • A robust understanding of modeling and simulation principles.
  • Education or experience using discrete event simulation models or commercial simulation software such as Arena, Simio, ProModel, etc.

Desirable Skills and Characteristics:

  • Basic proficiency with relational databases and Structured Query Language (SQL).
  • Proficiency in a scripting language such as R, Python, Perl, MATLAB, etc.
  • Excellent data manipulation skills (restructuring, parsing).
  • Basic familiarity or experience with machine learning algorithms (neural networks, gradient boosting, random forests, etc.). 
  • Education or experience using commercial or open source optimization software such as GAMS, CPLEX, Pyomo etc.
  • Knowledge of software development concepts (object oriented programming, development lifecycles).
  • Advanced Excel knowledge (VBA, array formulas)
  • Familiarity with regular expressions.


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