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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Our team includes former Big 4 consultants, intelligence community and law enforcement personnel, federal regulators, private security firms, and technology companies. We are equipped and prepared to provide services across a range of areas that include: Proactive Preparedness, Incident Response, Investigations, Cyber Resilience, Data Privacy, Managed Advisory Services and Managed Data Protection Services.
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EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
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Help lead and grow the Technology and Cyber Investigations consulting practice and team to support private and commercial clients across a variety of industries. Bachelor’s Degree in a business or technology-related field.
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This includes the software engineering of products and business systems, BI data, and IT. The Head of Technology is a member of the LG Executive Team and partners with leaders to create and execute the company’s strategic plan and develop the vision for the product to help us realize our mission.
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Typical projects involve a wide array of technologies and applications of technologies including areas such as Digital Twins, Augmented Reality/Virtual Reality (AR/VR), GIS, Big Data Analytics, Application Development, Relational Database Management Systems and Mobile Data Collection.
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Candidates should be willing to travel 20 - 30% or more What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry.
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Directing or managing the development and/or deployment of financial technology in the banking, financial services, or related sectors (such as experience managing or directing a cloud computing, artificial intelligence, and/or big data analytics service provider for financial institutions), for purposes of identifying financial institution related risks and opportunities from such technology; OR.
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With an expert balance of big-picture problem-solving and boots-on-the-ground execution, we deliver bespoke AV solutions for in-person, virtual, and hybrid meetings and live events. Continually work toward enhancing and improving technical skills to include audio, video/data, staging, and computer operation and networking.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Examples include but are not limited to text analysis, big data platforms, machine learning, web scraping, or cloud computing technology. Analyze data in R and/or Python programming languages using techniques and platforms such as natural language processing, big data, machine learning, and cloud computing technology.
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