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Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance GEOINT products, processes, and systems. They conduct data mining and retrieval and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence. They visualize information using a range of tools (e.g., GIS, R), develop scripts and algorithms, create explanatory and predictive models, and conduct comparative analyses to address complex military and intelligence problems. The Contractor shall provide data science services within the support of GEOINT analysis. Knowledge of data science, methodologies, and processing techniques shall be employed on behalf of GEOINT analysts and community customers while providing operational support. Individual data scientists shall have applied knowledge in three distinct areas depending on mission requirements. These services included, but are not
Services provided will fall into one of the following areas:
Applied Mathematics – Statistical and mathematical support to provide temporal and pattern analysis, correlation of events, probability analysis, assessments of sampling, analysis of variance and error, and regression testing and analysis.
Programming Skills – Write scripts in Visual Basic, Python or other software for modeling processes, repeatability, efficiency, knowledge capture, hypothesis testing and process automation.
Data Stories – Document and visualize data both temporally and spatially to assist in data integrity checks, ask the next question, and display analytical assessments.
Provide technical skills at the specified level of expertise to perform, not limited to: Advising/Consulting, Customer Requirements and Service, Information Dissemination, Information Gathering and Research, Quality Assurance, Data Analysis, Data Depiction, Data Management, Data Preparation, Enterprise Perspective, Extraction, Imagery Manipulation, Image Interpretation, Mensuration, Photogrammetric Analysis, Planning and Organizing, Problem Solving, Process Analysis and Improvement, Product Development and Editing, and Statistical Analysis
Provide technical knowledge at the specified level of expertise in Data Scientist subject areas including, not limited to: Analytical processes and techniques, Collection and tasking principles, Data evaluation principles, Geographic Information System (GIS) principles, GEOINT doctrine, Intelligence issues, Data attribution schema, Data conversion and transfer tools, Data dissemination requirements and procedures, Data mining techniques, Data modeling, Data storage processes, Data synchronization practices, Data visualization, Database design principles, Database statistics, Database performance analysis and reporting, Graph theory, Multivariate correlation, Network analysis technique, Quality control principles, Regression analysis, Relational databases, Sampling techniques and methods, Script writing, Search and retrieval strategies, spatial databases, Spatial statistics, Statistical software, Trend analysis techniques, and Validation procedures.
Provide data science services within the GEOINT community
Develop trade-craft techniques and solutions for discovery, preparation, manipulation, and normalization of big data
Use mathematical concepts and techniques to solve complex GEOINT analysis issues and understand concepts associated with structured data and relational databases
Primary products will include presenting processed data, visualizations and scientific analysis to GEOINT analysts and managers in support of production, and providing Subject Matter Expert (SME) services in various forums
Interaction directly with GEOINT analyst customers as support requirements arise, and devise an optimal approach to processing and scientifically analyzing data in a timely manner given the available tools and techniques
Presentation of processed data and scientific analysis to GEOINT analysts and managers. Analysts who use disparate data are usually not familiar with it, and the resulting analysis must be presented and explained in a manner that the customer can understand. The Contractor shall provide results to the customer with the requested form and content, including project related briefings as required
Ad-hoc informational briefings and training for the purpose of educating analysts and managers as to the capabilities of data science methodologies, processing, visualization and its benefit, to include presentations to the Commonwealth countries
Support and participation in community forums on an ad-hoc basis. This sometimes requires presentation of technical information or case studies resulting from operational support, to include presentations to the Commonwealth countries
Providing Subject Matter Expert (SME) support to the Community, and other GEOINT components and Contractors. Activities may include attending Technical Exchange Meetings (TEM); user testing and evaluation of new capabilities under development (e.g., participation as a user on SCRUM team in AGILE sprints); and advising various directorates.
Investigating new scientific analysis techniques and methods if requirements cannot be met in a timely manner with available tools and methods. This could include monitoring the community and industry for new technologies that can be inserted for operational use or the near-term formulation of algorithms and applications
Explain assumptions, analytical techniques, and statistical results effectively in writing and orally to convey intelligence problems being resolved
Formal written reports of selected products may be required which must conform to reporting standards of the customer
Utilize the relationship between the data collected for a real-world problem and the required structure of a relational database to help solve that problem
Utilize deductive reasoning and the scientific method as it applies to GEOINT analysis to solve problems.
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