You may qualify at the GS-14, if you fulfill the following qualifications: A. One year of specialized experience equivalent to the GS-13 grade level in the Federal service: Expert knowledge of advanced concepts, principles, and practices of Modular Open System Architectures (MOSA), Scaled Agile Framework (SAFE) software development methodology, developing software compliant with Risk Management Framework (RMF), simulation interoperability, physical sciences, geography and social sciences, and data sciences to provide subject matter expertise and provide functional technical leadership of interdisciplinary teams. Expert knowledge in the field of data science, to provide to guidance and direction to interdisciplinary teams that perform the mining, collecting, storing, preparation, and provisioning of data and to evaluate software and algorithms created to interpret and extract information that is used to improve Joint Training by providing a deeper understanding of the environment and decisions made during training events. Understanding and experience with software development and data preparation applications and libraries including Confluence, JIRA, Bitbucket, ArcGIS, QGIS, ERDAS Imagine, Python, SQL, PostgreSQL, and GDAL (Geospatial Data Abstraction Library) is required. Expert knowledge of the data used in Joint Training process to include the Joint Event Lifecycle (JELC) process and the Models and Simulations used today in the Joint Live Virtual Constructive (JLVC) Federation, and an understanding of the challenges and issues that need to be addressed to create and lead a data centric vision and strategy for the JTSE. The specific data include the sources, storage formats, schemas and runtime formats for terrain, force structure, system characteristics, C2 messaging formats, and exercise data used to inform the development of the Master Scenario Event List (MSEL) to provide technical input, advice, guidance, and final technical reviews Expert knowledge of geospatial standards bodies to include the Open Geospatial Consortium (OGC), the Simulation Interoperability Standards Organization (SISO), the United States Geospatial Intelligence Foundation (USGIF), the Geospatial Intelligence Standards Working Group, and the Defense Geospatial Information Working Group (DGIWIG), and the Open Source Geospatial Foundation to provide advice and guidance and recommend policies in assigned areas of responsibility. Expert knowledge of the Service maintained authoritative force structure data managed by the J8 to include the standard Global Force Management data model for those forces, the process to obtain access to the data, the J35 efforts to operationalize the force structure data by integration of Capability, Readiness, Availability, Employment/location (CRAE) characteristics, and ability to guide integration efforts with JTSE simulation and modeling ready data. 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 0801/0854/1301/1550 series. For the 0854/0801 series: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/files/all-professional-engineering-positions-0800.pdf For the 1301 series: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1300/general-physical-science-series-1301/ For the 1550 series: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/ *NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.

Tagged as: Interdisciplinary