Use SQL, OLAP, and data mining expertise to grade Introduction to Data Science coursework in person at the University of Ottawa's Main Campus.
This one-position Corrector assignment supports CSI4142, Section A, in the 2027 Winter Semester. The University of Ottawa requires accurate marking, grading, calculation, and recording of students' work. The strongest candidates bring excellent knowledge of data warehousing, dimensional modelling, data staging, data preprocessing, data mining techniques, and machine learning frameworks.
Key Responsibilities:
- Grade students' work for CSI4142 Section A
- Mark course submissions against academic expectations
- Calculate grades from students' assessed work
- Record completed grades for course administration
Requirements:
- Excellent data warehousing and data mining knowledge
- Strong understanding of dimensional modelling and data staging
- Knowledge of OLAP and SQL
- Knowledge of data preprocessing and machine learning frameworks
- Course or equivalent and prerequisites completed with A or better preferred
Bring database, analytics, and machine learning knowledge to accurate course grading for Introduction to Data Science students.
SQL Data Mining Course Grader employer: University of Ottawa
The University of Ottawa is an exceptional employer, offering a dynamic and inclusive work environment that prioritizes diversity and equity. As a part-time professor in the Faculty of Education, you will have the opportunity to engage with motivated students while contributing to innovative research and teaching practices. The university fosters professional growth through collaborative initiatives and provides a supportive atmosphere that values creativity and respect.
