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Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and our Corporate Function Partners.
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Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Relevant ExperienceExtensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/DatabricksStrong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniquesDeep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
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PNNL’s Artificial Intelligence and Data Analytics Division, part of the National Security Directorate, is committed to advancing the state of the art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and national security missions.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Design. The Data Science and Digital Health Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
$135,000 - $232,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 8-10 years of hands-on experience in machine learning, data science, and artificial intelligence, with a proven track record of delivering successful ML and LLM solutions in enterprise environments.
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CDSS was created to meet the opportunities and demands of a world where data, machine learning, and artificial intelligence inform practice and policy in virtually every arena.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies, while also ensuring quality. Lead, coach, mentor, empower, and develop a team of professionals to conduct advanced analytics leveraging predictive modeling, machine learning, data mining, data visualizations, simulation, and optimization; interpret disparate data/complex data sets/ structured and unstructured data and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
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Experience managing technical teams, preferably in Artificial Intelligence, Machine Learning, Data Science, and Analytics. 6-8 years of experience with regression and other supervised and unsupervised Machine Learning modeling techniques, with the ability to explain these complex principles in simple understandable language.
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The implementation of machine learning (ML) models and artificial intelligence (AI) solutions in property and casualty insurance is rapidly advancing. Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms.
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Experience with artificial intelligence and machine learning. The Intelligent Systems Division (ISD), one of the three research divisions of VTNSI, is seeking a Research Associate in Data Science to conduct research in artificial intelligence and systems engineering.
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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, geospatial analytics, machine learning, and artificial intelligence.
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Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.
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