Teaching Assistant at Co-Creation Hub (CcHUB) Nigeria

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.

• 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 degree 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.