TA (CUPE) - MEM5300 B - Winter 2027

University of Ottawa; Ottawa; On-site; CAD 47,000 - 73,000; Part time

Job summary

University of Ottawa is seeking a part-time Teaching Assistant/Demonstrator/Lab Monitor for the course MEM5300: Data Mining for Business Analytics at the Main Campus. The role covers student contact, grading, and proctoring in a 2027 Winter term, with a total of 97.5 work hours across January to April.

Undergraduate and graduate pay scales apply, with two hourly rates. Work is on-site at the University’s Main Campus; the supervisor is Mohammad Alnabhan.

Qualifications

• Minimum grade of A in a course in Data Mining and Machine Learning.
• Solid experience with IBM SPSS Modeler software application.
• Good English communication skills.
• Experience with online course delivery (e.g., Brightspace).
• Experience with online videoconferencing environments (e.g., Zoom and Microsoft Teams).

Responsibilities

• Contact with students.
• Grading and assessment of student work.
• Proctoring examinations and supervision of labs.

Skills

Data Mining knowledge

SPSS Modeler

English communication

Brightspace experience

Zoom/Microsoft Teams

Tools

IBM SPSS Modeler

Job description

Posting Reason:

New Position

Location where work is to be performed:

Main Campus

Session:

2027 Winter Semester | Trimestre d'hiver

Faculty:

Faculté de génie / Faculty of Engineering

Unit:

School of Engineering Design and Teaching Innovation_ST

Job Classification:

Teaching Assistant/Demonstrator/Lab Monitor (CUPE)

Posting Type:

Cours précis / Specific course

Course Title:

Data Mining for Business Analytic

Course Code:

MEM5300

Section:

B

Supervisor name (if known):

Mohammad Alnabhan

Date Posted (YYYY/MM/DD):

2026/10/29

Applications must be received BEFORE (YYYY/MM/DD):

2026/11/14

Description of tasks (hours):

• Recherche / Research: 0
• Préparation / Preparation: 0
• Contact avec étudiants / Contact with Students: 44
• Correction - Notation / Grading: 48
• Surveillance / Proctoring: 5
• Formation / Training: 0
• Autre / Other: 0

Number of positions:

1

Expected Enrolment:

45

Work Start Date:

janvier 04, 2027

Work End Date:

avril 30, 2027

Total Work Hours:

97.5

Hourly Rate:

AE-RA-Tuteur / TA-RA-Tutor : $33.83 ou/or $53.31 (Sept. 2026 - Aug. 2027)

Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.

These rates do not include vacation pay nor statutory pay.

Method of Delivery:

na

Language of Work:

Anglais | English

Requirements and Nature of Work:

• Minimum grade of A in a course in Data Mining and Machine Learning.
• Solid experience with IBM SPSS Modeler software application.
• Good English communication skills.
• Experience with online course delivery (e.g., Brightspace).
• Experience with online videoconferencing environments (e.g., Zoom and Microsoft Teams).

Additional Information and/or Comments:

All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.

The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.