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 the following areas: 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