Are you interested in using your skills to help shape the Cyber, Security, & Intel space? If so, look no further. We are seeking a Socio-Cultural Analyst to join our team of passionate individuals. In this role you will support challenging, mission-critical projects that make a direct impact on the nation's security and intelligence mission.
Supports Intelligence Analysis and Scientific Analysis activities in support of Marine Corps Intelligence Activity (MCIA), Intelligence (S2), Operations (S3) and Counterintelligence & Human Intelligence (CI/HUMINT) Directorates. Collaborates with the United States Marine Corps (USMC) and Department of Defense's (DoD) best trained General Military Intelligence (GMI) professionals. Will be required to provide stakeholders Intelligence Analytical support for all Intelligence factions. Provides necessary resources with knowledge and experience to support Weapons and Technical Analysis, Geo-spatial Intelligence Science and Analysis, Regional Analysis, Intelligence, Surveillance, and Reconnaissance, and Counterintelligence (CI)/Human Intelligence (HUMINT).
Responsibilities:
Conducts All-Source analytic production of standard and non-standard human geography (HG) as defined by National Geospatial-Intelligence Agency (NGA) to be -a major field of geography that is centrally concerned with the ways in which place, space, and environment are both the condition of and the consequence of human activities and human characterization.-
Analysis includes, but not limited, to religious, linguistic, ethnic, social, tribal, and occupational domains with respect to geography and resources to characterize the dynamics of groups of people worldwide.
Incorporates expertise in sociology, cultural anthropology, demography, psychology, geography, economics, and political science.
Provides subject matter expertise in situational awareness, intelligence production and analysis for/on to countries of interest determined by the Government.
Collaborates with Intelligence Community (IC) Agencies and Open Source Libraries to identify and acquire information/sources required concerning the analytic process to create and exploit human geography datasets such as cultural, socio-economic, population, political, historical and religious activities, terrain, land cover and soil data.Identifies, obtains, and exploits all available, unique geospatial datasets from all available sources (open, academic, and classified sources in all formats) in community interoperable formats and informs the process for organizing the information in viable databases.
Develops Standard Operating Procedures (SOPs) and user guides including Production Process Flow line; Source Selection, Evaluation and Preparation; HG Production Methodology/Data Processing; HG Schemas/Templates/Metadata; Quality Assurance/Quality Control (QA/QC) Criteria and Process; HG Data/Product Outputs; HG Data/Product Dissemination/Archive/ Feedback/ Management, for Human Geography modeling for common Geospatial Information Systems (GIS) software platforms to include briefing the conceptual or theoretical underpinning for each model and the intended benefits of the model.
Provides ability to exploit necessary data sources and user controlled individual variables/indicators to enable users to produce specific data set in their own exploitation environment.
Provides subject matter expertise to determine appropriate datasets and recommendation on weighting factors for various variable/indicators.
Develops educational seminars for onsite personnel and an online tutorial on the modeling capability of the Situational Awareness Tools (SAT) using the SOPs, to include the conceptual and theoretical basis of the models for MCIA Geospatial Intelligence Science and Analysis Division (GSD) staff and mission partners.
Develops a series of use case documents to educate the end-user of the variables involved in running the models with different datasets and indicators and consuming the results in various common software packages.
Develops new models or modify current models as required, while also developing additional best practice methods for exposing and/or optimizing existing results via Open Geospatial Consortium (OGC) compliant web services.
Models shall include but are not limited to vehicle mobility analysis; terrain analysis; economic counter narcotics; counter terrorism; hydrology; littoral; climatology; land use change; climate change; urbanization; natural disasters; societal vulnerability; ethnicity and tribal characterization; environmental-food-water security, atrocities and violence, wired and wireless spectrum, population vulnerability and other areas in the domain of human geography.
Develops methods for analyzing quality assurance/quality control (QA/QC) model results while also creating accuracy metrics to the results of SATs.
Delivers relevant and timely Human Geography data, information, models and tools that enable integration within the multi-intelligence environment.
Maintains community awareness to inform and develop unique uses for artificial intelligence, automation, and augmentation technologies (AAA) for human geography exploitation.
Accesses data services that can contribute to the enhancement of the human environment.
#divergent
Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions.
Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission.
Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymaker (e.g. Undersecretary level or higher).
Clearance Required:
Preferred:
Desired- Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.
Desired- Minimum 20 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years.
