USA remote
Operations Research Analyst
About this role
Please limit your resume to 2 pages. If more than 2 pages are submitted, only the first 2 pages will be reviewed to determine your eligibility/qualifications. IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
Basic Education Requirement Degree: in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. In addition to the basic requirements listed above: You qualify for the GS-12 grade level if you possess one (1) year of specialized experience at the GS-11 grade level or equivalent performing duties such as: Assisted in designing research and study methodologies; developing, applying, and interpreting appropriate models to conduct quantitative analyses that support effective planning, coordination, and acquisition life cycle program management Supported the development of recommendations for implementing operational requirements identification, documentation, and delivery Performed analysis through various approaches, regression (all types), and forecasted techniques Supported project management activities such as the translation of research to project phases, planning methods of approach, subdividing project components, etc.
You qualify for the GS-13 grade level if you possess one (1) year of specialized experience at the GS-12 grade level or equivalent performing duties such as: Applying quantitative and qualitative analysis to a variety of complex problems (to include, but not limited to: operations processes, business and management processes, mission support to programs, allocating resources, measuring performance, designing systems, managing logistics, budget analysis, work distribution, or analyzing large databases) to assist senior leaders in decision-making and problem solving of complex operational issues; Experience utilizing mathematical models (to include but not limited to: Monte Carlo simulation, linear and nonlinear programming, dynamic programming, queuing and other stochastic-process models, Markov decision processes, econometric methods, data envelopment analysis, neural networks, expert systems, decision analysis, and the analytic hierarchy process) to describe system or process being studied.