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Part-time
bachelor degree, postgraduate degree
Health Insurance, Defined Benefit Pension Plan, Group Insurance Coverage, Employee and Family Assistance Program
Posted 30d ago
Apply by Aug 15
~39 hrs/week
Responsibilities
The course focuses on applying data mining techniques and predictive analytics to solve business problems. Students will gain hands-on experience with data mining tools and software in various managerial contexts.
Requirements
A Bachelor's degree in Business, Computer Science, Engineering, or a related field is required, with a Master's preferred and a Ph.D. considered an asset. Industry experience in data analytics and prior teaching experience are preferred.
Full job description
Posting Reason:
New Position
Location:
Main Campus
Academic Period:
2027 Winter 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:
PRINCIPLES OF DATA ANALYTICS (On line)
Course Code:
MEM5300
Section:
A
Course Description:
Description: This course focuses on the application of data mining techniques and predictive analytics to business problem-solving. It covers key algorithms and techniques for extracting meaningful insights from business data, including data preprocessing, decision trees, neural networks, k-nearest neighbors, clustering, and association rules. Students will gain hands-on experience with data mining tools and software, applying these techniques in managerial contexts such as customer relationship management, marketing, sales, credit scoring, and churn analysis.
Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time Professor
Date Posted (YYYY/MM/DD):
2026/07/14
Applications must be received BEFORE (YYYY/MM/DD):
2026/08/15
Expected Enrolment:
40
Approval date:
2026/07/14
Number of credits:
3
Work Hours:
39
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:
Active
Course Schedule:
Lundi | Monday 19:00-22:00 - -
Requirements:
Education: Bachelor's degree in Business, Computer Science, Engineering, or related field is required; Master’s in Management or Engineering preferred. A Ph.D. is considered an asset.
Industry Experience: Demonstrated track record in professional or managerial roles involving data analytics, data mining, or technology-driven decision-making. Experience as a CTO or equivalent leadership role in a data-intensive or tech-focused organization is highly desirable.
Teaching Experience: Prior experience in post-secondary teaching or professional development instruction is preferred.
Technical and Analytical Skills
Proficient in data mining and predictive analytics, with the ability to teach both supervised and unsupervised learning techniques, including decision trees, neural networks, k-nearest neighbors, clustering, and association rules; familiarity with tools such as RapidMiner, WEKA, and others is a plus.
Extensive experience with IBM SPSS Modeler, including stream creation, model building and evaluation, and applying CRISP-DM within the visual interface.
Ability to apply analytical techniques to managerial contexts such as CRM, marketing, sales, credit scoring, and churn analysis.
Solid understanding of data preprocessing, including data cleaning, transformation, and partitioning.
Desirable Additional Skills
Familiarity with tools such as RapidMiner, WEKA, and other data mining platforms.
Knowledge of scripting or programming languages (e.g., Python, R, SQL)
Experience with integrating SPSS Modeler with business systems or databases.
Knowledge of modern data analytics trends and use of visual programming tools in business intelligence.
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 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 [email protected] 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.
Découvrez une culture de travail qui valorise la diversité, la collaboration et l'innovation. Bienvenue sur la page LinkedIn des Ressources humaines de l'Université d'Ottawa. Nous sommes déterminés à soutenir nos employés dans la réalisation de leurs objectifs de carrière et de leurs aspirations personnelles. Suivez-nous pour des offres d'emploi, des histoires de réussite et des ressources utiles sur l'équilibre entre vie professionnelle et vie personnelle, le développement de carrière et le mieux-être des employés. Rejoignez notre équipe dynamique et inclusive et participez à nos initiatives passionnantes. Suivez-nous sur LinkedIn dès aujourd'hui !
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Discover a workplace culture that values diversity, collaboration, and innovation. Welcome the University of Ottawa's Human Resources LinkedIn page. We're dedicated to supporting our employees in achieving their career goals and personal aspirations. Follow us for job opportunities, success stories, and helpful resources on work-life balance, career development, and employee wellness. Join our dynamic and inclusive team and be a part of our exciting initiatives. Follow us on LinkedIn today!
Offices: 550 Cumberland St, Ottawa, Ontario K1N 6N5, CA
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