OPERATIONS RESEARCH ANALYST

You will use mathematical programming languages (e.g., R Project, Statistical Package for the Social Sciences [SPSS], Statistical Analysis System [SAS], Python) to design mathematical models and algorithms.

You will present recommendations regarding analytical and mathematical techniques to senior leaders.

You will identify the appropriate quantitative technique (e.g., regression analysis, mathematical programming, parametric and non-parametric analysis, decision theory) to evaluate processes, operations and resource allocation.

You will use mathematical techniques (e.g., statistical analysis, data mining, simulation, computer modeling, linear programming) to assist managers in making informed business decisions.

You will extract data from manpower and management information system (IT) databases for statistical analysis.

Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-11 grade level or pay band in the Federal service or equivalent experience in the private or public sector.

Specialized experience must demonstrate the following: 1) Formulating statistical methods and mathematical models (i.e., regression, classification, and/or clustering analysis) to determine results of conducted studies and simulations; 2) Performing research that identifies trends that impact business operations; and 3) Using econometric data sources and the correlations to enhance the overall performance of the organization.

NOTE: This information must be supported in your resume to be considered for the position.

Additional qualification information can be found from the following Office of Personnel Management web site: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/operations-research-series-1515/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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.