2026 F (Sept-Dec), Sessional Instructional Assistant, MMI1020H Big Data Analysis
Data Science
CAD 55.25-55.25 / hour
2026 F (Sept-Dec), Sessional Instructional Assistant, MMI1020H Big Data Analysis
MMI1020H Big Data Analysis
This course introduces students to the art and science of data analysis and provides a set of statistical and econometric tools that are useful in managerial decision making. The primary focus of this course is on causal analysis. Topics include, but are not limited to: Probability Distributions, Hypothesis Testing, Linear Regressions, Propensity Score Matching, Binary Dependent Variables, Basic Machine Learning. Applications include, but are not limited to: Inventory Management,Assessment of a Marketing Campaign, Demand Estimation, Hospital Management, Investment Management.
Description of Duties:
- Being available online during class hours for synchronous sessions
- Marking assignments, having done suitable preparation (careful reading of cases).
- Meet with students on an occasional basis to discuss assignments.
- Invigilating the final exam.
- Assist in marking tests and final exams.
- Use Quercus.
- Consult with students by email.
Preferably a PhD student in Economics, in Marketing, or in Strategic Management with a research interest in applied microeconomic theory or a suitable qualified graduate student.
Class Schedule: Tuesdays, 11:00 am - 01:00 pm
Sessional date of appointment: September 1, 2026 - December 31, 2026
Salary:
The minimum hourly rate shall be: September 1, 2026 $55.25 (plus vacation rate)
Please submit your CV + general application form to the MMI Master of Management of Innovation program
By Email to: mmi.utm@utoronto.ca
Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.
Job Segment: Database, Data Analyst, Technology, Data, Research