Analysis of Big Data (Ontario)

Analysis of Big Data (Ontario)

26 Oct
|
University of Guelph
|
Ontario

26 Oct

University of Guelph

Ontario

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers
TA400450- Winter 2027-DATA*6300 Analysis of Big Data Teaching Assistant Work Assignment
Type of Work Assignment and Bargaining Unit: GTA, Unit 1
Academic Unit: Mathematics and Statistics
Semester(s) of Assignment(s): Winter 2027
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: Yes
Course Number: DATA*6300
Course Name: Analysis of Big Data
Course Format: In-Person
Course Description: See Course Calendar
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Level of Appointment for GTA, GSA-1 UTA(s) The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.
This Posting includes Multiple Work Assignments: No
Number of Available 0.25 (35 hour) Work Assignments: 0
Number of Available 0.5 (70 hour) Work Assignments: 1
Number of Available 0.75 (105 hour) Work Assignments: 0
Number of Available Full 1.0 (140 hour) Work Assignments: 0
Total Number (Load) of Assignment(s) Available: 1
Duties and Responsibilities Anticipated Duties and Responsibilities: Orientation-Training
Office Hours
Preparation
Student Consultation
Meetings
Invigilating Exams
Grading
Other Duties Described: Duties for TA work assignments in the Department of Mathematics and Statistics include other ADMINISTRATIVE duties (dept. and final exam invigilation and course evaluations, and other departmental duties specified by the Chair). Accessibility for Ontarians with Disabilities Act (AODA) Training must be completed. If you have not already done so, complete the three (3) mandatory administrative courses and upload your certificates of completion to your Work Assignment profile.
Qualifications Required Qualifications:



Enrollment in a graduate level program in Mathematics and Statistics or Data Science, and/or completion of the course.
Preferred Qualifications: Excellent communications skills plus familiarity with CourseLink would be an asset.
Days Required and Wages Days and Times Required: See WebAdvisor for course schedule.
Period of the Work Assignment (Start Date and End Date): January 7, 2027 to May 7, 2027
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): Other Posting Information Application Deadline (All postings will automatically expire at 11:59 pm on this day): Monday, November 2, 2026
Posting Email Contact: Hiring Contact Information: At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, secure and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus. All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required. Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: [email protected]). The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.

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📌 Analysis of Big Data (Ontario)
🏢 University of Guelph
📍 Ontario

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