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Hiring Unit:
DesautelsCourse Title:
Text AnalyticsCourse Code:
INSY 669Estimated Number of Positions:
1Total Hours of Work per Term:
107Hiring Unit:
Desautels Faculty of Management
Course Title and Course Number:
Digital Retailing Models/Text Analytics/Social Media Analytics
Estimated Number of Positions:
1
Total Hours of Work per Term:
109
Position Summary:
The Teaching Assistant will support the delivery of INSY 669/670 (Text Analytics) and RETL 613, with responsibilities focused on both technical and instructional support. Duties will include assisting students with Python programming, data preparation, text analytics, natural language processing, and the application of analytical methods to business and retail problems.
Specific responsibilities include:
Qualifications:
The TA is expected to have strong Python skills and familiarity with data analytics and machine learning. Prior experience with text analytics, NLP, language models, or related methods is particularly desirable. Must be McGill graduate student with appropriate course background.
Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
Hourly Salary:
Position Start Date:
Position End Date:
Deadline to Apply:
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.