Analyze and evaluate assessments to determine students’ mastery of learning objectives and course competencies
Prepare accurate, helpful, and consistent feedback to help students develop course competencies
Apply evaluation processes, policies, and procedures when reviewing and determining students’ mastery of course learning objectives and program competencies
Stay current with updates to evaluation processes; adopt and apply updated and new evaluation processes as they occur
Collaborate with team members and leadership when evaluating new and complex assessments to ensure consistent evaluation ratings
Review evaluation feedback from team members and leaders, apply input as needed to ensure evaluation methods align with department and team expectations
Partner with team members and leaders to improve evaluation processes that promote consistent scoring and improve evaluation processes

Minimum earned Master’s Degree in a computing field (Computer Science, Information Technology, Software Development, Data Analytics, Information Systems, Computer Engineering, Applied Mathematics, or similar)
Minimum of 3 years of work experience, teaching, or research in a computing field
Preferred Qualifications Doctorate or ABD preferred
Professional certifications
Preferred experience in Applied Mathematics, Applied Statistics, Data Analytics, Python, R, Data Mining, Data Science, Machine Learning, Quantitative Methods, Reporting, Statistical Tests, Parametric, Nonparametric, NLP, Classification, Clustering

Part-Time Evaluator, Data Analytics

Key skills