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Engage with both structured and unstructured datasets in a modeling and analytics context to develop efficient processes for evaluating complex data sources and addressing unique intelligence challenges Lead and contribute to the creation of new solutions, as well as the enhancement of existing ones Collaborate with stakeholders, product owners, and program managers to break down road map items into actionable tasks, provide time and resource estimates, propose solutions, and assess risk Apply exploratory data analysis techniques to extract insights, patterns, and correlations from complex datasets Integrate math, coding, and analytics to derive actionable insights for decision-makers Research and apply optimization frameworks and strategies to inform both data management and analytical activities Use big data tools to process and interpret diverse datasets, generating meaningful insights Conduct peer reviews to raise the quality of workflows and analytical approaches Mentor team members and contribute to building a high-performing, technically skilled workforce
Required Qualifications:
8-10 years of related experience; Additional experience may substitute for education level Active DoD TS/SCI clearance with CI Polygraph, or CI Poly eligible Experience supporting Intelligence Community Senior to SME level ability to work with both structured and unstructured data Notable experience in database development and data mining Solid experience leveraging government-off-the-shelf data processing and analytics tools to modernize methodologies Proficiency with commercial off-the-shelf statistical tools such as Tableau, MapLarge, and/or MATLAB for data visualization and complex statistical analytics Hands-on experience with advanced analytical methods, and a track record of applying them to meet client needs Demonstrated experience leading technical teams in solving intelligence and analytical problems Familiarity and knowledge in specialized technology research methods to support operation needs and tasks Geodatabase development using .NET, Python, C++, or Java Web services architecture, design, and development
Preferred Experience:
BS or master's degree in data science or a closely related technical discipline Background in developing and implementing AI/ML technologies and solutions Advanced programming experience using tools such as HTML5/JavaScript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Statistical tools, ArcGIS Desktop, ArcGIS Server, ArcSDE, or ArcIMS Experience in programming for web interfaces Some familiarity in building and maintaining databases for GEOINT, OSINT, or SIGINT, to align with mission sets and needs Proficiency in visualizing data through Network Analytics or Matrix, graphical data tools, and creating operational pictures that support assessments and intelligence products
Sprachkenntnisse
- English
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