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Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows. Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.
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Technical Awareness of multiple data-related domains, including data management and analysis (Familiarity with database management systems, e.g., SQL, NoSQL, and data analysis tools, e.g., Python, R), Data Integration, Statistical Analysis, Machine Learning, Data Visualization, and their associated tool (GitHub &c.
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The Senior Data Analyst will leverage leading-edge data and analytics techniques, e.g., Business Intelligence, Artificial Intelligence/Machine Learning, statistical modeling, and applied algorithms.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support all GDIT Artificial Intelligence and Machine Learning and Data Management commitments through facilitation, development and maintenance of all applicable policies, procedures, and protocols in collaboration with GD, GDIT and other Business Units.
$312,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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LMI is seeking a skilled Data Scientist at our headquarters office in Tysons, VA. Successful Data Scientists demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.
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From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there's no better place to be right now than in digital.
$128,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Understanding of corporate risk management and ability to utilize data to assess risk. In this opportunity as an Analyst, you will be responsible for performing a wide range of work, from due diligence assessments to threat management reports.
$151,600 a yearExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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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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Experience with Tableau and/or other data visualization tools. Develop scheduled and ad hoc reports utilizing grants management data. Grants Management Specialist position within Department of Transportation Office of the Chief Information Officer’s Applications and Digital Solutions Group.
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Architect, build, deliver, and operate enterprise-wide technical data, information, and knowledge management components and services including technical architecture, platforms, tools, integrations, data management, content management, analytics, data visualization, business intelligence, records management, publishing, archiving, and digital preservation.
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In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI.
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