Qualifications Qualifications: Enrolled in a Masters or Ph.D. program (Preference to Doctoral, then Masters) Minimum overall standing: B+ (or equivalent).

Overallacademic performance at B+ and above Robust foundation in Statistics and Probability Background in computer science or a closely related field Proficiency in R and Python programming Practical skills in data visualization using Tableau or equivalent tools.

Evidence of applied projects focused on with statistical and analytics tools, and Python programming Hands-on experience with Microsoft Azure virtual machines or labs.

Previous performance evaluation as a Teaching/Graduate Assistant at a University, if applicable.

Applicants not registered as TMU students will be considered if no qualified TMU student is available.

Attendance : GA must attend all lab sessions held by the designated instructor and be fully prepared.

Salary & Compensation September 1, 2024 to August 31, 2025 Master - $49.93 per hour PhD - $53.91 per hour September 1, 2025 to August 31,



2026 Master - $51.17 per hour PhD - $55.26 per hour Conferring with SUP Instructor Coordination - 2 Hours: Plan, prepare, and meet with the instructor (lab prep, grading rubrics, alignment with course outcomes).

Superv/Monitoring labs/Demos Lab Support - 18 Hours: Attend 12 lab sessions and actively demonstrate tools, participate in student discussions, and support technical procedures, lab tutorials, and live-session activities.

Marking assignments/lab report Grading - 18 Hours: Grade assignments in terms of the course rubric; assess process and findings; provide feedback on all rubric criteria and return marks within the timeframe specified by course policy.

Other Duties Discussion Board - 5 Hours: Monitor and participate in the online course shell; address student concerns and questions thoroughly, and provide complete, timely replies in line with course policy. other Review Sessions - 2 Hours: Conduct one 2-hour or two 1-hour review sessions (for mid-term and/or final). other Number of Registered Students Enter # of Students

📌 Academic Assistant Cdata Analytics: Advanced Methods Thurs Sep 10 Dec 10 6:30 9:30 Toronto
🏢 Toronto Metropolitan University
📍 Toronto