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The 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.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Senior Data Scientist / Machine Learning Subject Matter Expert (SME) with DHS Public Trust Clearance - Remote About FWDthink: FWDthink is a consulting company specializing in technology solutions, education and government contracting.
Full-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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As a staff applied machine learning scientist, you will create forward-thinking solutions for the next generation of journalism. Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics.
$219,100 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Job Description General Summary The Healthcare Data Scientist - Machine Learning/AI, Statistics, Operations Research position will join our Advanced Data Science group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization.
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As a Staff Applied Machine Learning Scientist, you will develop innovative solutions to enhance the future of journalism. Qualifications: - Master’s degree or higher in Computer Science, Statistics, Mathematics, or a related field with a focus on data mining, NLP, or machine learning.
$260,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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GEICO is seeking an experienced lead machine learning scientist to join the AI Solutions org. Working knowledge of machine learning techniques and predictive modeling.
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As a research scientist specializing in machine learning, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs. Research practices and publications: You have a track record of conducting research in machine learning and artificial intelligence.
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As a senior research scientist specializing in machine learning, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs. Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
Full-timeExpandApply NowActive JobUpdated 17 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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