At a Glance
- Tasks: Assist in teaching Essential Concepts in Data Science and support student learning.
- Company: University of Ottawa, a diverse and inclusive workplace.
- Benefits: Competitive hourly rate, flexible hours, and valuable teaching experience.
- Other info: Join a collaborative team committed to innovation and excellence in education.
- Why this job: Make a difference in students' lives while enhancing your own skills in data science.
- Qualifications: Strong knowledge of data science techniques and programming skills in Python and SQL.
The predicted salary is between 45 - 55 $ per hour.
Location where work is to be performed: Main Campus
Session: 2027 Winter Semester
Faculty: Faculty of Engineering
Unit: School of Engineering Design and Teaching Innovation
Job Classification: Teaching Assistant/Demonstrator/Lab Monitor (CUPE)
Course Title: Essential Concepts in Data Science
Course Code: MIA5126
Section: B
Supervisor name (if known): Olubisi Atinuke Runsewe
Date Posted: 2026/10/28
Applications must be received BEFORE: 2026/11/13
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.
- Research: 0
- Preparation: 0
- Contact with Students: 12
- Grading: 14
- Proctoring: 3
- Training: 0
- Other: 3
Number of positions: 1
Expected Enrolment: 20
Work Start Date: January 04, 2027
Work End Date: April 30, 2027
Total Work Hours: 32.5
Hourly Rate: $33.83 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: N/A
Language of Work: English
Requirements and Nature of Work: Must have strong theoretical knowledge of data science techniques such as regression, classification, clustering, survival analysis, time series analysis, association rule mining, and collaborative filtering. Hands-on experience with industry tools and programming languages, particularly Python and SQL, as well as knowledge of application deployment, is required. Should have excellent communication skills and the ability to simplify complex topics to support student comprehension.
Additional Information: All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The hiring process will be governed by the current CUPE 2626 collective agreement. 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.
TA (CUPE) employer: University of Ottawa
The University of Ottawa is an exceptional employer, offering a dynamic and inclusive work environment that prioritizes diversity and equity. As a part-time professor in the Faculty of Education, you will have the opportunity to engage with motivated students while contributing to innovative research and teaching practices. The university fosters professional growth through collaborative initiatives and provides a supportive atmosphere that values creativity and respect.
