Supervisory Operations Research Analyst
| Company | KBR |
|---|---|
| Location | Reston, VA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Master of Science in Operations Research, Applied Mathematics, Data Science, or related discipline
- 12 years of relevant experience, including a minimum of 8 years of MS&A experience and 3 years of management experience
- Strong knowledge of simulation analysis and experiment design & analysis techniques
- Skilled in R, MATLAB, Python, JupyterLab and/or Jupyter Notebook
Responsibilities
- Lead a team of quantitative analysts and modelers dedicated to conduct modeling, simulation, and analysis (MS&A) of emerging concepts for DARPA
- Directly engage with DARPA and other government stakeholders to determine analytic requirements, deliverables, and study milestones and schedules
- Manage the team’s timely execution of the study plan(s) and ensure timely development of quality products
- Lead the conduct of studies for senior-level military decision makers, technology developers, and acquisition professionals
- Develop, implement, and execute an experiment design approach, identify key metrics for simulation output, analyze results, generate insights and information, and present findings to senior DoD leaders
- Conduct pre- and post-simulation analyses as needed
- Provide technical direction to subordinate analysts and modelers to execute tasks on schedule and to exercise quality control over study deliverables
- Develop and/or instantiate platform and system models, model behaviors, and model hierarchies in the designated modeling & simulation (M&S) environment
- Exercise supervisory and performance evaluation responsibilities
Preferred Qualifications
- PhD in Operations Research, Applied Mathematics, Data Science, or related discipline
- 15 yrs of relevant experience, including a minimum of 10 years of MS&A experience and 5 years of management experience
- Project Management Professional (PMP) or Certified Analytics Professional (CAP) or equivalent certification
- Deep knowledge of simulation analysis and experiment design & analysis techniques
- Expertise in R, MATLAB, Python, JupyterLab and/or Jupyter Notebook