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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Master’s degree or PhD in Computer Science, Electrical Engineering, Computational Linguistics, Statistics, Applied Mathematics, or similar major.
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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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Familiarity with Natural Language Processing (NLP) techniques, Large Language Model (LLM) applications, and generative AI technologies. As a Senior Data Science and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Education: Bachelor's Degree (Geographic Information Science, computer science, cartographic science, geology, social science, environmental science or related technical field) and 4 years of experience OR Master's Degree and 2 years of experience.
$81,250 - $146,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning: Proficient in machine learning techniques, including supervised and unsupervised learning, deep learning, computer vision, and natural language processing.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Bachelor's degree in Digital Forensic Science, Computer Science / Engineering, Computer Information Systems, Information Technology, Mathematics, Criminal Justice, or related field and 8+ years of prior relevant experience.
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Qualifications: Bachelor's degree in computer science, science technology, international relations, political science, economics or a related interdisciplinary field with minimum of eight (8) years of experience supporting development activities (USAID-funded activities preferred.
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PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field. Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
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Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
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Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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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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Hand held scanner, telephone, hand held radio, computer, printer, scanner, copier, fax machine, writing instrument, reports, logs, spreadsheets, merchandising diagrams (planograms), point-of-sale terminal, petroleum and/or propane equipment and terminals, fertilizer and crop protectant blenders and spreaders, loaders, forklifts, pick-ups, delivery trucks, and other tools and equipment.
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machine natural processing computer science jobs Title: data scientist Company: Gartner in Washington, DC
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