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Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale. Strong data science and/or data engineering experience working with healthcare clients.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python. Headquartered in Columbia, MD., RealmOne supplies advanced cybersecurity, data science and software engineering services and products to customers in the Government and commercial sectors.
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Join Takeda as a Senior Medical Science Liaison - Gastroenterology / Immunology where you will be responsible for analyzing, interpreting and disseminating scientific data, acquiring and translating customer insights, fostering external expert networks, and compliantly connecting customers to Takeda to advance medical strategy and improve patient outcomes.
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Minimum of 5 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science. AI/ML Computational Science Team Lead/Consultant. Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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OCI Data Science is the AI Platform of Oracle Cloud, serving data scientists and machine learning engineers and practitioners in thousands of organizations around the globe, to develop, manage, and productionize ML models and Large Language Models (LLMs) in an enterprise grade environment.
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Strong technical background and understanding of RWE, RWD, data science, clinical research systems and their applications in product development. Bachelor’s and/or master's degree in computer science, Data Science, Product Management and/or related discipline.
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Utilizing experience with NLP and text-based extraction techniques;Understanding of how to develop and operationalize data science analytical models so these models can run in an automated context;Understanding of how to map transformation and flow of data from a source to a target system; and,Problem-solving skills and the ability to translate business requirements into data-driven solutions.
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Bachelor's degree Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Extracts data from multiple systems and departments using various data manipulation and extraction techniques for regular, cyclical, and ad hoc reporting.
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Maintain an in-depth knowledge of machine learning and data science. Present In-depth Verint's Engagement Data Hub to senior IT and Data Science teams. Leverage in-depth data architecture or data science knowledge to influence and provide valuable insight into the industry as a whole and differentiate Verint's platform.
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The degree must be in Computer Science, Information Assurance, Information Security System Engineering, or related discipline from an accredited college or university. Shall have at least one (1) year of demonstrated experience in conducting requirements analysis, resource allocation, project costing, deliverable tracking, schedule and financial data monitoring, and reporting.
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You will have a chance to modernize legacy systems using cutting edge technology, to bring in accuracy and efficiency by using data science and AI. You will work with teammates from our business groups, data science, data engineering, and application development, as well as with your peers from partner product owners.
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Design, develop, implement and/or integrate IA and security systems and system components including those for networking, computing, and enclave environments to include those with multiple enclaves and with differing data protection/classification requirements.
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You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams. We are seeking a Lead ML Engineer to join our ML team within the Data Science COE at S&P Global.
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Develop outstanding key internal stakeholder relationships across Data Science, Product, Marketing, Sales, and Finance. Bachelor's degree in Finance, Data Science, or Economics.
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Recent construction site superintendent experience working on construction projects involving industrial facilities & structures (Cold Storage Distribution Centers, Food & Beverage Processing, Packaging, & Distributions Centers, Life Science and Advanced Technology Manufacturing Facilities, Industrial Tilt Wall Distribution Centers, ASRS Robotics Distribution Centers, Data Centers, Clean Room/Dry Room Construction, MEP Driven Projects.
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data science jobs in Columbia, AK, West Virginia
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