Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculté de génie / Faculty of Engineering

Academic Unit:

École de conception et d’innovation pédagogique en génie \ School of Engineering Design and Teaching Innovation

Course Title:

DATA ANALYTICS & BUS INTELL

Course Code:

DTI6220

Section:

F

Course Description:

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/15

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

2026/06/16

Expected Enrolment:

n/a

Approval date:

2026/05/15

Number of credits:

1.5

Work Hours:

19.5

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

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

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.

Course type:

B

Posting type:

Régulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Lundi | Monday 19:00-22:00 - - The course will be starting in october until December

Requirements:

The candidate must have a doctorate in Digital Transformation and Innovation or Electronic Business Technologies. They should have conducted interdisciplinary research and have experience teaching students from diverse backgrounds. Additionally, they should have extensive experience teaching graduate-level courses in data science, data mining, or machine learning.

The candidate must also have a minimum of 3-5 years of work/research experience in data analytics, data science, or a related field. They should have extensive practical knowledge of applying data mining techniques in business settings, such as CRM, target marketing, credit scoring, churn analysis, survival analysis, or fraud detection. Furthermore, they should be proficient in using data mining tools and techniques, including but not limited to decision trees, neural networks, and regression analysis.

Additional Information and/or Comments:

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit , here for the OLBI unit , or here for the Toronto/Windsor unit 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 vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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.