About this role
Job Summary
This position is part of the Defense Security Cooperation Agency. The incumbent will be responsible for designing, developing, and implementing mathematic, statistical, and econometric models and techniques to analyze issues associated with human capital forecasting throughout the security cooperation workforce.
Qualifications
You may qualify at the GS-13, if you fulfill the following qualifications: A. One year of specialized experience equivalent to the GS-12 grade level in the Federal service: Designing, developing, and/or implementing mathematical, statistical, and econometric models and techniques to analyze issues associated with human capital forecasting. AND B. 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 Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.
You will receive credit for all qualifying experience, including volunteer experience. In addition to meeting qualifications, your application package must reflect the applicable experience to meet the Individual Occupational Requirements for the 1515 series.
Major Duties
- As a Operations Research Analyst at the GS-1515-13 some of your typical work assignments may include: Uses a number of operations research techniques to conduct analysis including statistical analysis, graphical analysis, simulation, cost benefit analysis, decision analysis, and optimization. Develops long-term models of what the security cooperation workforce will look like (e.g., demographic data, career field representation, projected corps vacancies, etc.) based on identification and analysis of current data trends. Performs professional work related to mathematical modeling, statistical analysis, and other scientific methods and techniques and uses automated and other analytical tools to professionally synthesize teams' reports and findings into concise, summary level management reports Designs, develops, and implements mathematic, statistical, and econometric models and techniques to analyze issues associated with human capital forecasting throughout the security cooperation workforce.