University of Toronto
Sessional Instructional Assistant - CSCD25H3 - Advanced Data Analysis
This job is now closed
Job Description
- Req#: 34171
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY: https://www.utsc.utoronto.ca/webapps/cupehiring/dept/csc/app/sia
If you have any issues applying, please contact Dilaany Sebarasa dilaany.sebarasa@utoronto.ca
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Course Code and Title: CSCD25H3 - Advanced Data Analysis
Course Description: This course teaches the basic techniques, methodologies, and ways of thinking underlying the application of data science and machine learning to real-world problems. Students will go through the entire process going from raw data to meaningful conclusions, including data wrangling and cleaning, data analysis and interpretation, data visualization, and the proper reporting of results. Special emphasis will be placed on ethical questions and implications in the use of AI and data. Topics include data pre-processing, web scraping, applying supervised and unsupervised machine learning methods, treating text as data, A/B testing and experimentation, and data visualization.
Course Enrollment (est.): 25
Number of Positions (est.): One, 35 hours.
Qualifications: This position requires knowledge of advanced data science and applied machine learning. The successful candidate will have demonstrated ability in supervised and unsupervised learning; data cleaning, processing, analysis, and visualisation; and randomized experimentation and observational analyses. Experience successfully running interactive tutorials is required. Demonstrated experience in applying data science techniques to real-world data in both academic and industrial settings.
Duties: The main duties of this position are conducting weekly tutorial sessions and holding office hours; other duties as required by the course.
Sessional dates of appointment: September 5 – December 31, 2023
Salary: Sessional Instructional Assistant - $52.26 per hour.
Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Application Instructions: PLEASE APPLY ONLINE: https://www.utsc.utoronto.ca/webapps/cupehiring/dept/csc/app/sia
Link to timetable: http://www.utsc.utoronto.ca/~registrar/scheduling/timetable
2023 Fall Term Important Dates: Please see Calendar http://www.utsc.utoronto.ca/registrar/dates-and-deadlines
Department Contact: Dilaany Sebarasa dilaany.sebarasa@utoronto.ca
Closing Date: October 7, 2023, 11:59PM EDT
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This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
About the company
The University of Toronto is a public research university in Toronto, Ontario, Canada, located on the grounds that surround Queen's Park.
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