job description 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 eg 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 limited to 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 advisingconsulting 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 scriptwriting 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 tradecraft 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