Grading of exams and other course components; consultation with course instructor; assistance in the preparation of course materials and required readings for the course; offering office hours and conferences to help students.
Hiring Unit:
School of Continuing Studies
Course Title and Course Number:
YCBS 299 – Data Science Capstone Project
Estimated Number of Positions:
1
Total Hours of Work per Term:
45
Position Summary:
Grading of exams and other course components; consultation with course instructor; assistance in the preparation of course materials and required readings for the course; offering office hours and conferences to help students.
Qualifications:
Must be a graduate student in engineering, computer science, math or other related field
Prior (graduate or undergraduate) study in the subject matter of the course; strong overall academic performance; strong teaching skills.
Proficiency in:
- Data analysis – intermediate to advanced
- Statistics ( descriptive statistics, correlation, covariance) – intermediate to advanced
- Python – intermediate to advanced
- Anaconda, TensorFlow, Keras – intermediate
- Machine Learning (decision trees, ensemble methods, neural networks) – intermediate
- Tableau - Intermediate
- Alteryx – Intermediate
Google Cloud platform – an asset
Hourly Salary:
$31.59
Position Start Date:
07/19/2021
Position End Date:
12/07/2021
Deadline to Apply:
10/05/2021
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, [email protected] or 514-398-3711.
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