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WGU is seeking a Part-Time Evaluator in Data Analytics to analyze student assessments and provide constructive feedback to help them master learning objectives and course competencies.
Job Responsibility:
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
Requirements:
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
Ability to review students’ responses on assessments and determine mastery of learning objectives and course competencies
Ability to evaluate assessments and develop accurate, helpful, personalized, and consistent feedback to students
Ability to maintain expertise in content relevant to the role
Demonstrate excellent communication skills (verbal and written)
Demonstrated competency with technology needed to evaluate and respond to students’ assessments
Ability to adapt quickly to new processes and apply changes to evaluation processes
Ability to provide and receive constructive feedback and ensure consistency in evaluation responses
Demonstrated attention to detail and accuracy
Demonstrated ability to collaborate and work effectively as part of a team
Ability to work independently to complete assessment evaluations consistent with standard practices and policies
Nice to have:
Doctorate or ABD
Professional certifications
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
What we offer:
Vision and mental healthcare
Flexible spending account
Voluntary life insurance
Accident, critical illness and hospital indemnity supplemental coverages