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Education: Bachelor's degree or higher in a Computer Science, Computer Forensics, Computer Engineering, Cybersecurity, Electrical Engineering, or a related technical discipline; commensurate operational experience can serve as a substitute for degree requirements.
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Master's degree in International Affairs, Political Science, Foreign Area Studies, National Security Studies, Linguistics, Business, Library Science, or a related field preferred. 3+ years of experience with OSINT analysis, including collection plans and risk assessments.
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Mandatory Skills, Experience, and Education: · Minimum: The successful candidate will have a combination of education and/or experience equivalent to a Bachelor's degree in Computer Science or a related field and considerable education, training and experience that demonstrates competency in the following areas: o Azure DevOps and Azure IaaS and PaaS setup experience o Infrastructure Provisioning: designing and implementing the infrastructure components required for cloud solutions.
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A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field. A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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Master’s degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Education: Bachelor's or Master's in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.
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A Masters or a Bachelors in Computer Science, Mathematics, Statistics, Economics, Public Policy, Data Science or a related field. The Urban Institute's Data Science team is hiring a Data Scientist to work with researchers across the Urban Institute and our change-maker partners to apply data science tools and techniques to generate new evidence, data, and analytic tools that inform public policy.
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Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Freddie Mac’s Modeling, Econometrics, Data Science & Analytics Department is currently seeking a Quantitative Analytics Senior who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities.
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Technically related: Computer Science, Cybersecurity, Engineering, Human Resources, Information Technology/Systems, Journalism/Investigative Reporting, Languages/Linguistics, Logistics, Management Information Systems, Mathematics/Statistics/Data Science, Sciences (anthropology, biology, chemistry, etc.
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Bachelor's degree in a relevant field (e.g., Geomatics, Photogrammetry, Computer Science, Archaeology). Bachelor's degree in a relevant field (e.g., Geomatics, Photogrammetry, Computer Science, Archaeology.
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Bachelor's Degree must be in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, or Software Engineering) with 5-7 years of experience.
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Basic Qualifications: US Citizen with the ability to secure US Federal Security Clearance Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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An Associate of Science (A.S.) or Bachelor of Science (B.S.) degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Technical degree i.e. BE / B.Tech / M.Tech / MCA / M.Sc. in Computer Science / Management Information Systems / Engineering / Math / Physics / Chemistry or proven professional and technical experience.
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Undergraduate and graduate degrees in engineering, computer science, analytics, math, finance, accounting, management information systems, social sciences, physics, or decision science.
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computer science jobs Title: risk consultant Company: Pwc in Arlington, VA
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