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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Experience with natural language processing, text mining, or machine learning techniques and building engineering code using open source programming languages, including Python, R, or JavaScript.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open source capabilities.
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Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development. Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence.
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Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/ or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Makes best-practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. Celestar Corporation is seeking a Senior-level Computer Scientist supporting the National Ground Intelligence Center (NGIC) Facilities and Infrastructure Characterization and Analysis (FICA) located in Charlottesville, VA. If interested and qualified, we welcome you to apply for this challenging opportunity.
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Integrates or codes algorithms to support Government intelligence search and discovery missions. National Ground Intelligence Center (NGIC) Mid-level Computer Scientist. CLEARANCE REQUIREMENT: Active TS/SCI Clearance.
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Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence.
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Demonstrates ability to develop concise, insightful, and comprehensive products for defense intelligence. Demonstrates ability to structure analysis based on trends in reporting and a range of analytic perspectives from other analysts, organizations, and intelligence disciplines.
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Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.
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Develop and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.
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Experience with open source vision and machine learning tools such as CUDA, Caffe, fastText, OpenCV, Parsey McParseface, SciKit, Torch, Tessaract, TensorFlow, Theano a plus.
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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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