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Education: High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Must hold a bachelor’s degree from an accredited 4-year university or college with a discipline in Engineering (Mechanical, Electrical, Industrial, Data Science, Computer Science, Computer Engineer or similar.
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Bachelor’s Degree in Computer Engineering, Computer Science, Information Technology or related field and a minimum of 4 years of prior related experience; or 4 years post-Secondary/ Associates Degree and a minimum of 8 years of prior related experience.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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We are responsible for the end-to-end data science life cycle, right from ideation to developing Proof of concepts (PoC) and finally building and maintaining production data science and applications/products/featuresThis role is a unique opportunity to drive business value for multiple stakeholders and the ideal candidate must have deep design and hands-on development expertise in Statistics, ML, NLP, LLMs, model development and integrating ML solutions with business.
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The Senior Technician, Infrastructure Operations is responsible for all aspects of the installation of low voltage, fiber optic, outside plant, data center structured cabling and the equipment within the critical environments that support Universal Orlando.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Maintains and retrieves patient data by appropriate use of PACS and other information systems; generates hard copies when appropriate. Under the direction of a Radiologist, MRI Technologist II performs a wide variety of technical procedures utilizing magnetic resonance imaging to obtain computer-processed images of designated portions of the body.
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MSc in Computer Science, Bioinformatics, or related field and 6+ years of demonstrated working experience as a data engineer or, alternatively, a PhD in a relevant area plus 3+ years of experience.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science, or a related; quantitative field or equivalent work experience.
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Security Business Systems Analyst. BS or MS degree in Computer Science or related. Experience in driving/managing Information Security projects in the areas of Vulnerability Management, Disaster Recovery, Applications Security, DevSecOps.
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Install, configure, and support new hardware and software infrastructure, including wireless access points, IP security cameras, access control systems, ethernet cabling, and fiber optics. In this role, you will be responsible for installing, configuring, and maintaining access control systems, network infrastructure, Audio Visual (AV) systems, Telephony systems, and low-voltage cabling infrastructure.
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Technical knowledge of traditional and IP products as well as services include telephone systems (Avaya, Cisco), voice mail systems (Unity), AVAYA call routing systems, and data communications hardware.
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data science computer information systems jobs Title: business analyst in New York, NY
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