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As a Data Scientist II on the Advanced Analytics team, you will have the opportunity to: Scale positive business results through the use of big data, ML modeling, ad hoc analysis, and proactive
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As Data Scientist in Advanced Analytics, you will have the opportunity to: Scale positive business results through the use of big data, ML modeling, ad hoc analysis, and proactive consulting
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to interpret and implement research ideas and algorithms Creative, collaborative, and innovation-focused Strong sense of project ownership and personal responsibility Implement and integrate APIs for various NLP
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strategy, leveraging technical expertise to align with industry standards and emerging technologies. Conduct in-depth market research, employing data-driven insights, and collaborating with stakeholders
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and collaboration. Ability to research and recommend new enhancements to processes and tools. Strong understanding of HR processes, policies, and practices. Outstanding organization and planning skills
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computer skills. Ability to manage potentially stressful situations in a professional and ethical manner. Knowledge of action research and program evaluation Work Experience: Three years of teaching
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of three years required for graduate level. Research, scholarship, or achievement in the discipline required for graduate-level; in addition at the doctoral level, experience with how to conduct and
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of teaching experience preferred. Professional experience in the discipline with a minimum of two years required for undergraduate level and three years required for graduate level. Research, scholarship
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content intent. He/she/they act as a liaison to other departments including the Center for Faculty Excellence, Office of Research & Scholarship, Doctoral Affairs, Faculty Hiring, HR, Faculty Scheduling
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. Professional experience in the discipline with a minimum of two years required for undergraduate level and three years required for graduate level. Research, scholarship, or achievement in the discipline