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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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A Staff Data Scientist for Market Regulation Technology will support the establishment of data science and machine learning best practices as FINRA moves to machine learning (ML)-based pattern development.
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems. Data Scientist III: $95,100 - $144,800. Data Scientist IV: $113,700 - $173,600.
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As a research scientist in Document Intelligence Lab (DIL), you will provide technical leadership in research, architect and develop machine learning solutions at scale regards document structure, semantics understanding, knowledge extraction and auto-generation cross modalities (e.g. image, language and layout structure.
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Ii) develop of machine learning and computational discovery methods for public health research. They will work under the supervision of a senior bioinformatics scientist. ii) develop of machine learning and computational discovery methods for public health research.
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Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
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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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The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.
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I. DEPARTMENT INFORMATION Job Description Summary: The George Washington University Milken Institute School of Public Health is seeking a Bioinformatics Analyst II. The skilled and collaborative candidate will study microbial genomics in a public health context and have the opportunity to:(i) analyze large omics datasets from clinical and epidemiologic studies(ii) develop of machine learning and computational discovery methods for public health research.
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Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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Collaborate with internal and external stakeholders to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence.
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scientist machine learning jobs in Bethesda, MD
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