This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer.

Duties

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.

Requirements

• Must be a US Citizen.
• Must be determined suitable for federal employment.
• Must participate in the direct deposit pay program.
• New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov
• Within the Department of Defense (DoD), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326.
• Males born after 12-31-59 must be registered for Selective Service.

Qualifications

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/#url=GS-PROF 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.

Education

Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess.

A completed bachelor's or higher degree in operations research.

OR

Successful completion of a bachelor's or higher degree with 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 and at least 3 of the 24 semester hours are in calculus.

Contacts

• Address NVRECRUITNGCMD NRC Millington Millington, TN 38054 US
• Name: Sharon Warner
• Phone: 850-452-3101
• Email: [email protected]