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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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Fluid understanding of and working ability with data management software, geographic information systems (GIS) (e.g., CARTO or ArcGIS / ESRI), and relational database systems (SQL, Oracle Business Intelligence) or other data management, reporting and query tools.
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Common areas of study include but are not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration, Audit Management, Risk Management.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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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 degree in Data Science, Computer Science, or Engineering. You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines.
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Bachelor's degree in information security, information technology, computer science, or related field preferred. Supports and maintains a wide variety of security processes and technologies across several functional security domains, including identity solutions (IdP, PAM, MFA), network and software firewalls (NGFW), intrusions detection/prevention systems (IDS/IPS), web and DNS filtering (SWG, CASB), end-point security solutions (NGAV/EDR), security event monitoring (SIEM) platforms, vulnerability scanning, and data loss prevention (DLP) solutions.
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Bachelor’s degree in computer science, Information Systems / Security, Computer or Systems Engineering, or related technical degree with 2 - 6 years of related NERC CIP experience resulting in demonstrated ability to perform the major duties required.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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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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Associate of Applied Science program in Information Technology, Computer Information Systems, Computer Science or equivalent from an accredited institution or equivalent technology industry experience.
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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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Experience in digital forensics, litigation support, information systems or other relevant experience. Bachelor's degree in Computer Science, Engineering, Digital Forensics, IS, or other relevant technical course work.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT.
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Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
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data science computer information systems jobs Title: business analyst in Newark, NJ
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