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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Additionally, they will participate in a wide variety of Natural Language Processing activities, building Machine Learning Models, AI Algorithms, code and design review. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers.
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Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Advanced knowledge and skill of a broad range of defense department or private sector C4 systems, data, scientist Big Data analytics, machine learning, AI, cognitive science, programs, operations, strategies, tactics, resource and information processes, force structure, and weapons systems.
$93,300 - $212,000 a yearPart-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We bring experience in building and deploying machine learning models and artificial intelligence applications using Google TensorFlow, Python scikit-learn, and other tools. Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and machine learning capabilities Be a part of a team that is making an impact and HAVE FUN while doing so.
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