This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule
Job Description Virginia Tech has a unique and exciting opportunity for a Coordinator in the Research Conflict of Interest (COI) Program. The Research COI Program assumes a critical role in the research enterprise at Virginia Tech
Job Description The Assistant Director for Client services will guide strategic planning and execution of the comprehensive delivery of financial aid counseling services; outreach services; and Client Services programs at Virginia Tech. This position is instrumental
Job Description Virginia Tech is seeking an Associate Data and Analytics Engineer to support the development, maintenance, and operation of enterprise data, analytics, and reporting solutions that enable institutional reporting, decision support, and data-informed decision-making across
Job Description: At Sparklight and Cable One, we keep our customers and associates connected to what matters most. For our associates, that means: a thriving and rewarding career, respect for the communities where they live and work,
Job Description Under the supervision of the Director of the IT Project Management Office (PMO), the Project and Portfolio Coordinator supports the planning, execution, reporting, and governance of technology projects across the Division of Information Technology.
OCM Team Lead eGroup Enabling Technologies is a nine-time Microsoft Partner of the Year award winner, specializing in Modern Workplace technologies that drive secure communication and collaboration in the cloud. As a fully remote organization with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side