Data Scientist

TekStream Solutions, LLC
TekStream Solutions, LLC

Job Overview

The Data Scientist will show a ability to show creativity and innovation to go beyond current tools to deliver the best solution to complex problems. Ability to leverage multiple data management tools to organize relevant information and make decisions. Ability to develop comprehensive software applications. Ability to translate complex, technical findings into an easily understood narrative (i.e., tell a story with the data) in graphical, verbal, or written form. Ability to multitask and change focus quickly as mission needs change. Ability work collaboratively and effectively in a team environment. Ability to establish and maintain internal and external professional networks including subject matter experts, collectors, and decision makers that are necessary to carry out tasks or projects. Familiarity with project management concepts and principles Qualifications Minimum Qualifications Senior or Expert skill level Five or more (Senior) or Ten or more (Expert) years of related experience Working (Senior) or Thorough (Expert) knowledge of individual, organizational, technological, or transnational issues of national security concern Prior experience with the Intelligence Community and methodological experience in some of the following areas Relationships and discovery (correlating, enriching and prioritizing data about activity among actors, devices or facilities to enable the discovery of structure, roles, key relationships and targets). Situational awareness (unifying data into a single context, allowing the current situation to be accurately and quickly understood). Systems modeling (building a computational analog of a real-world system political, military, economic, social or technical -to understand how it operates, what it is capable of, and how it may react to shocks). Business analytics (supporting data-driven decisions about how we can improve the business of intelligence). Thorough (Expert) or Working (Senior) knowledge of appropriate analytic methods and methodological tools in two or more (for Senior)all three (for Expert) of the following areas Applied mathematics (e.g. probability and statistics, multi variable calculus, linear algebra, ordinary and partial differential equations, stochastic processes, graph theory). Computer programming (e.g., scripting, data parsingETL, artificial intelligence, machine learning, mathstatistics packages, natural language processing, software versioning, distributed computing). Visualization (e.g., dashboard creation, network analysis, GISgeospatial analysis, telemetry analysis) Thorough (Expert) or Working (Senior) knowledge of Python and some of the following softwaretools SQL, R, Hadoop, Spark, Java, CC++, Git, Bash, Tableau, ArcGIS, Unix commands. Thorough (Expert) or Working (Senior) knowledge of research design principles Thorough (Expert) or Working (Senior) knowledge of intelligence collection methods, capabilities, and tasking process.Data Scientist 1

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