HI
You will serve as a OPERATIONS RESEARCH ANALYST in the Naval Air Warfare Center Aircraft Division (NAWCAD), Support Equipment (SE) & Aircraft Launch and Recovery Equipment (ALRE) Group of NAVAIRWARCENADLKE within the Operations Department, Digital Engineering Division and the Data and Applications Branch (BL72200).
['You will develop and deploy complex data analyses and mathematical models to assess programmatic risks and support acquisition decisions across the entire weapon system life cycle.', 'You will conduct Analyses of Alternatives (AoAs) and create mathematical optimization models to maximize return on investment and guide strategic resource allocation for funding, personnel, and schedules.', 'You will lead large-scale analytical projects, translate highly technical findings into formal briefings for senior leadership, and provide technical guidance and mentorship to junior analysts.']
In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector performing some or all of the following duties: 1) Leading the development of complex data analyses for defense weapon systems across all phases of the acquisition life cycle, including applying quantitative techniques to transform raw programmatic data into useful prognostics, evaluating Condition-Based Maintenance (CBM) parameters, and assessing operational, schedule, and engineering risks across development, production, and in-service logistics support; 2) Developing and utilizing mathematical algorithms, predictive models, or advanced automation (such as Machine Learning) to analyze complex data and generate useful prognostics; 3) Conducting analyses of alternatives (AoA) and building optimization models designed to maximize the return on investment for program resources and evaluate various risks; 4) Improving analytical methods, tools, databases, and processes while collaborating effectively within cross-functional teams to build strategic relationships and achieve common goals; and 5) Leading technical research projects, providing mentorship to less experienced analysts, and translating highly complex analytical findings into formal briefings and strategic recommendations for senior leadership. Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url="List-by-Occupational-Series" 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.
Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess: Basic Requirements 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. Evaluation of Education: The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area. Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable, but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
This position is covered by the Department of Defense Priority Placement Program. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. During the application process you will have the ability to opt-in to make your resume available to hiring managers in the agency who have similar positions in the local commuting area. Depending on the hiring organization and the position being filled, job requirements (e.g., security clearance, travel, drug testing, financial disclosure filing, bargaining unit status, etc.) may vary. Other hiring managers filling similar positions may offer relocation expense reimbursement and/or may offer recruitment incentives for new employees, depending on funding availability and in accordance with policy. If you opt-in and are referred on a certificate, your resume will be available to other hiring managers for 180-days from the date the job announcement closes. Opting in does not impact your application for this announcement, nor does it guarantee further consideration for additional positions. Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: http://www.secnav.navy.mil/donhr/Documents/CivilianJobs/FedCivAnnuitants.pdf ICTAP Applicants: To be considered well-qualified and exercise selection priority as an ICTAP candidate, displaced Federal employees must satisfy all qualification requirements for the position and receive a rating in the highly qualified category (score 85) or higher. ICTAP candidates must provide copies of all of the following documentation at the time of application: 1) agency notice; 2) most recent performance appraisal; and 3) most recent SF-50 or notification of personnel action that includes position, grade level, and duty location. Applicants who do not provide this documentation will not receive consideration as an ICTAP candidate. For more information about ICTAP eligibility please review the following link: https://www.usajobs.gov/Help/working-in-government/unique-hiring-paths/federal-employees/career-transition/ Military Spouse Preference applicants will be placed at the highest grade for which they have applied and are determined Best Qualified (BQ). A BQ military spouse possesses knowledge, skills, abilities, and competencies comparable to others who meet the competitive referral criteria for the specific position. PPP applicants will be placed at the FPL, if determined Well Qualified (WQ). To receive priority consideration, the FPL must be the same grade level or equivalent of the retained grade or the grade held immediately prior to separation.