AFSIM Modeling and Simulation Team Lead

Booz Allen Hamilton•Tampa, FL

5d•Hybrid

About The Position

AFSIM Modeling and Simulation Team Lead The Opportunity: As an operations research analyst, you’re passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for a creative solution. We need a seasoned research analyst like you to help us solve complex problems for our clients. On our Advanced Framework for Simulation, Integration, and Modeling team, you’ll lead the evaluation of data assessment strategies such as such as mathematical and statistical modeling, artificial intelligence, machine learning, data analysis, and decision support analytics processes to deliver solutions. You won’t go at it alone; you’ll lead a team of other operations research analysts to conduct research, prepare graphs and charts, and tailor quantitative and qualitative analysis to a broad range of complex military problems by designing, developing, and applying techniques such as probability models, statistical inference, simulations, and optimization and economic models. Once documented, you’ll oversee the development of information displays, decision briefings, analytical papers, and will facilitate senior leader discussions to present results, collaborate with stakeholders, and hold various program meetings to improve program efficiency. In this role, you’ll share your passion for analytics and statistics to devise modeling and measuring techniques using mathematics, statistical methods, engineering methods, operational mathematics techniques, and other principles and laws of scientific and economic disciplines. Use your high-level operations research expertise to develop technologies and concepts that advance decision support and advanced analytics. Join us. The world can’t wait.

Requirements

10+ years of experience with Operations Research System Analysis (ORSA)
2+ years of experience performing campaign modeling and analysis using models such as AFSIM, EADSIM, or STORM
Experience developing analytic methodologies, metrics, and decision criteria
Experience leveraging scientific methods to inform qualitative and quantitative analyses
Experience using automated statistical packages in support of analysis projects
TS/SCI clearance
Master’s degree in Operations Research Systems Analysis or a Science, Technology, Engineering, or Mathematics field

Nice To Haves

5+ years of experience performing campaign modeling and analysis using models such as AFSIM, EADSIM, STORM, AMP, MIDAS, STK, or JFAST
Experience in the military at the theater or joint task force level conducting planning or performing operational assessments
Experience developing R scripts for pre-processing, post-processing, data analytics and data visualization
Experience with the CENTCOM Area of Responsibility
Experience with R, Python, SQL, or other software programs that analyze data
Experience with simulation
Experience with geospatial analysis
Possession of excellent verbal and written communication skills
Master’s degree in Operations Research Systems, Data Science, Engineering, or Applied Mathematics
Graduate of a Command and General Staff College or Service equivalent

Responsibilities

Lead the evaluation of data assessment strategies such as such as mathematical and statistical modeling, artificial intelligence, machine learning, data analysis, and decision support analytics processes to deliver solutions.
Lead a team of other operations research analysts to conduct research, prepare graphs and charts, and tailor quantitative and qualitative analysis to a broad range of complex military problems by designing, developing, and applying techniques such as probability models, statistical inference, simulations, and optimization and economic models.
Oversee the development of information displays, decision briefings, analytical papers, and will facilitate senior leader discussions to present results, collaborate with stakeholders, and hold various program meetings to improve program efficiency.
Devise modeling and measuring techniques using mathematics, statistical methods, engineering methods, operational mathematics techniques, and other principles and laws of scientific and economic disciplines.
Develop technologies and concepts that advance decision support and advanced analytics.