Part-Time Evaluator, Data Analytics
Job Description:
• 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:
• 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
Benefits:
• vision and mental healthcare
• flexible spending account
• voluntary life insurance
• accident, critical illness and hospital indemnity supplemental coverages
• legal and identity theft coverage
• retirement savings plan
• wellbeing program
• discounted WGU tuition
• prorated paid holidays and accrued sick time
Apply tot his job
Apply To this Job
• 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:
• 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
Benefits:
• vision and mental healthcare
• flexible spending account
• voluntary life insurance
• accident, critical illness and hospital indemnity supplemental coverages
• legal and identity theft coverage
• retirement savings plan
• wellbeing program
• discounted WGU tuition
• prorated paid holidays and accrued sick time
Apply tot his job
Apply To this Job