Operations Research Analyst

4 weeks ago


Alexandria Virginia, United States Systems Planning and Analysis, Inc. Full time
Overview:
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.  

 

The Cross Domain Warfare Analysis Group (CDAG), within SPA’s Sea Land and Air Division (SLAD), specializes in integrating warfighter experience and emerging technologies expertise to assess new capabilities and their impact to our Military warfighters across the full range of domains from the seabed to space. CDAG customers include: Defense Advanced Research Projects Agency (DARPA), Office of Naval Research (ONR), Navy staff, and other government organizations. We draw on multi-disciplinary expertise in operations research, systems engineering, military operations, and program analysis to advise DoD leaders on decisions to acquire innovative technologies, optimize existing processes, and influence policy to advance our national security. CDAG delivers:  1) Quantitative and qualitative modeling and analysis combined with extensive operational and technical experience to develop integrated solutions to warfighting challenges, 2) Cost-effective platform, mission, payload, and operating strategies to address capability gaps and exploit opportunities to create asymmetric cross-domain effects, 3) Expert capability, technology, policy, and business case assessments; operational mission analyses; integrated warfare assessments; requirements development; technology transition management; and program support.

 

SPA has an immediate need for an Operations Research Analyst. #CJ #IN123

Responsibilities:
The Operations Research Analyst will conduct modeling and simulation analysis using SPA’s modeling environments GCAM and Archer/Cyber Assassin (CA) and a variety of other DoD models and modeling environments such as Advanced Framework for Simulation Integration and Modeling (AFSIM), the Synthetic Theater Operations Research Model (STORM), and the Next Generation Threat System (NGTS).  They will assist in the framing, development, and presentation of warfighting analyses by building models to analyze and assess military operations and technologies.  They will also identify, research, and incorporate modern strategies for analysis in areas such as computer science, systems engineering, and program analysis to provide timely and relevant products as well as conduct analysis of data sets, drafting white papers, compiling reports, and delivering briefs to clients.

 

This opportunity is based in Alexandria, VA.  Due to the classified nature of the work there are limited opportunities for remote/telework and it may require minimal travel (0-10%) depending on the project.

Qualifications:
Required Qualifications:

Bachelor’s degree in a technical field such as Operations Research, Engineering, Mathematics, Statistics, Computer Science, or related field

Critical thinking, problem-solving, written and oral communication skills, and high attention to detail

US Citizenship (with ability to qualify for and maintain a DoD Secret or higher security clearance)

Desired Qualifications: 

Internship or paid work experience with and manipulating data using programming languages or analysis packages (e.g. VBA, SQL, Python, R, MATLAB), experience with configuration management tools such as Git and BitBucket, and experience with mathematical modeling and monte carlo simulation are a plus

Experience with DoD M&S tools such as GCAM, Cyber Assassin, AFSIM, STORM, NGTS or NSS a plus

Master’s degree in a technical field such as Operations Research, Engineering, Mathematics, Statistics, Computer Science, Data Sciences/Analytics or related field.



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