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Enrollment Services, Finance & Operations, and Pre-College Student Life) and University offices (including Environmental Health and Safety, the Registrar’s office, Digital Learning and Design, and academic
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high-level service and interpersonal skills are also required. Education and Experience Master’s Degree (Computer Information Science, Science, Information Technology) and three (3) to five (5) years
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computer proficiency, including Zoom, Google Suite of collaborative tools, Microsoft Office, Excel, Word, PowerPoint, Workday; scheduling software (Google preferred); Adobe Professional and other database
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effects and inform policy Experience in utilizing machine learning algorithms to analyze large datasets and generate predictive insights that support research questions Skilled in managing and analyzing
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in propensity score matching, and causal inference models to assess treatment effects and inform policy Experience in utilizing machine learning algorithms to analyze large datasets and generate
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environment. Ability to be a vital team member when the situation warrants while maintaining careful attention to detail. High level of computer knowledge. Must be proficient with Excel, including pivot tables
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interpersonal skills. Ability to maintain work priorities in an environment with multiple concurrent tasks and projects while meeting deadlines with minimum supervision. Excellent computer proficiency, including
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. Computer skills are required including proficiency with MS Word and PowerPoint. Working knowledge of AALAS Learning Library and Traincaster preferred. Excellent written, verbal, and interpersonal
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to ensuring a supportive, challenging, inclusive, and equitable living and learning environment for pre-college students who hail from all 50 states in the U.S. and over 70 countries. The planning for and
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of social work experience. All learning will be based on a model that identifies the interplay of power, privilege and oppression and seeks to address the roots of harm and high-risk behaviors from