TA337845- Fall 2025-DATA*6200 Data Manipulation and Visualization

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
Mathematics and Statistics
Semester(s) of Assignment(s): 
Fall 2025
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
Some
Course Details
Course Number: 
DATA*6200
Course Name: 
Data Manipulation and Visualization
Course Format: 
In-Person
Course Description: 
See Course Calendar
Projected Class Enrolment: 
35
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
Attending Lectures
Email Correspondence/Monitoring
Meetings
Invigilating Exams
Grading
Other Duties (specify below)
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 the certificates of completion to your Work Assignment profile.
Qualifications
Required Qualifications: 
Enrolment in a graduate program in Mathematics, Statistics or Data Science, and/or completion of the course. Knowledge and familiarity with the course material.
Preferred Qualifications: 
A bachelor's degree (or higher) with a major (or less preferably a minor) in Mathematical Science, Mathematics, or Statistics. Demonstrated excellence in mathematical and statistical reasoning and ability, especially as directly related to this job position. Experience and demonstrated excellence in past TA duties or tutoring roles. Excellent communication 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): 
September 2, 2025 to December 19, 2025
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): 
GTA $49.43/hr; $6,924.98/semester effective 2025/26
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Tuesday, July 15, 2025
Posting Email Contact: 
mspost@uoguelph.ca
Hiring Contact Information: 
Tricia Townsend, Graduate Program Assistant, gradms@uoguelph.ca

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, safe 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: president@cupe3913.on.ca).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.