Weekend In Jobs in Richmond, ON (NOW HIRING)

Posting Reason:

New Position

Location where work is to be performed:

Main Campus

Session:

2026 Fall Semester | Trimestre d'automne

Faculty:

Ecole de gestion Telfer / Telfer School of Management

Unit:

Telfer School of Management_Students and Casuals

Job Classification:

Teaching Assistant/Demonstrator/Lab Monitor (CUPE)

Posting Type:

Cours precis / Specific course

Course Title:

Business Data Mining

Course Code:

ADM3308

Section:

Supervisor name (if known):

Bijan Raahemi

Date Posted (YYYY/MM/DD):

2026/06/29

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

2026/07/14

Description of tasks (hours):

Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.

Recherche / Research:0Preparation / Preparation:0Contact avec etudiants / Contact with Students:20Correction - Notation / Grading:83Surveillance / Proctoring:7Formation / Training:0Autre / Other:60

Number of positions:

2

Expected Enrolment:

n/a

Work Start Date:

September 01, 2026

Work End Date:

December 31, 2026

Total Work Hours:

170

Hourly Rate:

AE-RA-Tuteur / TA-RA-Tutor : $31.89 ou/or $50.25 (2024-2025)

The academic year starts on September 1 and ends on August 31.

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

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Language of Work:

Anglais | English

Requirements and Nature of Work:

Nature of Work

Lab tutorials, Support labs, assist the professor in evaluation of lab reports and assignments. Proctoring exams.

Minimum qualifications

Strong understanding of Business Data Mining

Ability to apply grading rubrics and provide clear, structured feedback

Ability to meet strict deadlines and manage workload efficiently

Minimum C.G.P.A. of 7.0;

Minimum grade of A in ADM 3308 or an equivalent course in Data Mining and Machine Learning;

Solid experience with IBM SPSS Modeler software application.

Good English communications skills.

Experience with online course delivery considered an asset

Experience with online videoconferencing environment considered an asset (ex. Microsoft Teams)

Comments

Candidates on short list may be interviewed by course professor/coordinator.

Please note that the posted hours could be increased by 10% to 30% due to registration.

Candidates on short list may be required to write a test.

Please note should the course will be online, you will be required to have access to a computer, internet, microphone and webcam.

Contract hours may be reallocated among different tasks, which the professor may adjust over the course of the semester.

Must be located in Ottawa for the entire duration of the course (with the exception of official University holidays), including through the grading of the final exam and calculation of final grades by the professor.

Please note that the method of teaching or working may change due to health or other reasons.

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.