Job Title: Teaching Assistant
Location: Ikorodu, LagosEmployment Type: Full-time
Job Description
The Teaching Assistant (TA) position on the SAIL Innovation Lab Data Science for Society Training Programme is a crucial role that supports the program’s mission to provide comprehensive training in data science and its applications for societal impact.
As a TA, you will assist the program instructor and contribute to the overall success of the training programme by providing support to the participants, facilitating learning activities, and ensuring a positive and engaging learning environment.
Responsibilities
Assist program instructors in preparing and delivering training sessions on various topics related to data science and its applications for societal challenges.
Collaborate with instructors to develop instructional materials, including presentations exercises and assignments.
Guide participants in understanding data science concepts, methodologies, and tools.
Provide one-on-one or small-group assistance to participants during lab sessions, workshops, and project work.
Assist in grading assignments, projects, and assessments, providing constructive feedback to participants to enhance their learning experience.
Help in managing and organizing program resources, including datasets, software tools, and other learning materials.
Monitor participant progress, identify areas where additional support may be needed, and suggest strategies for improvement.
Foster a positive and inclusive learning environment by promoting collaboration, respectful communication, and teamwork among participants.
Qualifications
Bachelor’s or Master’s Ddegree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline.
Understanding of data science concepts, tools, and techniques.
Experience in programming languages commonly used in data science, such as Python or R.
Excellent communication and interpersonal skills to effectively interact with participants and instructors.
Strong organizational and time-management abilities to handle multiple tasks and prioritize effectively.
Prior experience as a teaching assistant or similar role is desirable but not mandatory.
Application Closing DateNot Specified.
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