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A Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
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Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, Management Information Systems, or a related field and 5 years of relevant experience developing software solutions in the position of Software Engineer, Associate Software Engineer, or a related position.
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Computer Science, Statistics, Mathematics, Physics, Econometrics, Computer science or Engineering, Business / Economics. VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. and accelerated programming stacks (CUDA, MPI, AVX, or similar) At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code.
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The AP Precalculus Course Lead is a member of the Mathematics and Computer Science department and works collaboratively with experts in the department and across all STEM subjects to improve curriculum, instruction, and assessment for all mathematics and computer science courses.
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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Tenable training and CISSP strongly preferred but not required Completed Bachelor’s degree with Computer Science or related (math, engineering, Endpoint management and best practices: McAfee AV, Carbon Black, and LogRhythm Good Project Management skills Some related Palo Alto Firewall administration (Panorama), network security, operations and management best practices preferred Understanding of network design, infrastructure, Active Directory and Group Policy Knowledge of enterprise patching / updates is a must Some related scripting skills (Python.
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A&M's team is comprised of experienced computer forensics, eDiscovery, data science, cybersecurity and privacy professionals and experts who come from the world's largest law firms, professional services firms, leading forensic technology firms, Fortune 500 corporations, and law enforcement/government agencies.
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As a Quantitative Trader, you'll draw on your knowledge of mathematics, computer science and statistics to uncover patterns in vast amounts of financial data and deploy profitable trading strategies to markets around the world.
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Required Qualifications/Skills•BS in Computer Science, Electrical Engineering or MIS•Minimum 5 Years experience in designing, implementing, and managing storage solutions from Dell, HPE, and Hitachi in enterprise environments.
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MINIMUM REQUIREMENTS: Bachelor's degree in Computer Science, Engineering, Mathematics, Business, Accounting, Finance or a related field and 5 years of progressive, post-baccalaureate work experience in a customer-facing role in a large consulting firm and/or in the industry.
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Requirements: Bachelor's degree in Engineering, Technology, Computer Science, or closely related field, plus one year of professional experience building, stabilizing, validating, and monitoring statistical models to ensure that they meet the retail sector client guidelines.
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EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Position SummaryThe Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.
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Accounting & Technology, Accounting, Banking and Finance, Business Application Programming, Computer and Information Science, Computer and Information Science & Accounting, Computer Applications, Computer Engineering, Computer Management, Computer Programming, Computer Systems Analysis & Accounting, Economics, Information Technology, Information Technology & Accounting, Management Information Systems, Management of Technology, Statistics, Systems Engineering.
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computer science jobs Company: New York Blood Center in New York, NY
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