Programming for Data Science

University of Guelph; Guelph; On-site; CAD 28,000 - 41,000; Part time

Job summary

The University of Guelph is seeking Teaching Assistants, Graduate Service Assistants, and Sessional Lecturers for the Winter 2027 term in the Mathematics and Statistics department. This in-person course DATA*1000: Programming for Data Science requires you to support lectures, run labs, and assist students during regular instructional hours (8:30 AM–10:00 PM EST).

Candidates must be enrolled in a graduate program in Mathematics and Statistics or Data Science, with strong communication and

Qualifications

• Enrollment in a graduate level program in Mathematics and Statistics or Data Science.
• Excellent communications skills.
• Familiarity with CourseLink is an asset.

Responsibilities

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Meetings
• Invigilating Exams
• Grading
• Administrative duties and course evaluations

Skills

Communication skills

CourseLink familiarity

Education

Graduate program enrollment in Mathematics and Statistics or Data Science

Job description

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400452- Winter 2027-DATA*1000 Programming for Data Science

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*1000

Course Name:

Programming for Data Science

Course Format:

In-Person

Course Description:

See Course Calendar

Other Course Description or Assignment Information:

When applying for this work assignment, please be aware that this course is an “in-person” format. Candidate will be required to work during regular University instructional hours (8:30 AM to 10:00 PM EST) as required. Some of the duties of this job may include conversing with students via chat or other interactive online software, for which the candidate must have access to a computer and a reliable internet connection or in-person office hours. In addition, the candidate may be required to perform duties during scheduled face-to-face lecture and/or lab times, course evaluations, and invigilation of midterms and finals. (check WebAdvisor for course schedule).

150

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.

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

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: [e-mail]).

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