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Teaching Assistant (Statistics and Data Science)
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Teaching Assistant (Statistics and Data Science)
Job summary
A top university in Singapore is seeking a dedicated Teaching Assistant (Statistics and Data Science) to join their Department. The successful candidate will commit to two years of full-time service, engaging undergraduates or adult learners with expertise in statistics and data science. Responsibilities include developing teaching materials, leading part-time student assistants, and making classes interactive. Applicants should possess a relevant bachelor's degree and proficiency in data tools. Strong communication skills and prior teaching experience are preferred.
Qualifications
- At least a bachelor's degree in statistics, data science, mathematics, or related fields.
- Proficiency in data tools such as R, Power BI, Orange, Tableau, Excel, Python.
- Excellent oral and written communication skills.
- Resourceful and up to date with field changes.
- Proactive and reflective about teaching practice.
- Ability to foster strong collaboration with colleagues.
- Prior experience in teaching adults is advantageous.
Responsibilities
- Demonstrate a deep understanding of the subject matter.
- Work with the course coordinator to develop teaching materials.
- Act as a lead TA managing part-time student teaching assistants.
- Provide feedback to the course coordinator and students.
- Capture and maintain attention during classes.
- Enhance learning with practical examples.
- Demonstrate excellent organizational skills for effective teaching.
Skills
Education
Tools
Teaching Assistant (Statistics and Data Science)
Department: Statistics and Data Science
University: National University of Singapore
Location: Kent Ridge Campus
Posting Start Date: 23/09/2025
Job Requisition ID: 21252
Applications are invited for the position of Teaching Assistant at the Department of Statistics and Data Science, National University of Singapore.
Successful candidates are expected to commit to two years of full‑time service. Depending on experience and expertise, the candidate will be involved in the teaching of undergraduate (UG) courses and/or continuing education and training (CET) classes for adult learners.
As a Teaching Assistant (TA), you will have the opportunity to share your expertise and passion for statistical and data science with undergraduates or adult learners.
- Demonstrate a deep understanding and expertise in the subject matter.
- Work with the course coordinator in the development of teaching and assessment materials.
- Act as a lead TA and help the course coordinator manage a team of part‑time student teaching assistants.
- Provide constructive and insightful feedback to the course coordinator and students.
- Show interest in academic interaction with adults from all disciplines.
- Capture and maintain students' attention, making each class engaging, interactive, and memorable.
- Enhance the learning experience by integrating practical examples and real‑world case studies, empowering students to apply their newfound knowledge effectively.
- Demonstrate excellent organizational skills, ensuring a well‑paced class that maximizes students' understanding and progress.
- At least a bachelor's degree in statistics, data science, mathematics, or related fields, preferably with experience in teaching or practicing empirical quantitative work.
- Proficiency in data tools such as R, Power BI, Orange, Tableau, Excel, Python, etc.
- Excellent oral and written communication skills.
- Resourceful and keep up to date with changes in the field of statistics, analytics and data visualization.
- Being proactive and reflective about teaching practice.
- Ability to foster strong collaboration with colleagues.
- Prior experience in teaching adults is advantageous.
Location: Kent Ridge Campus
Organization: Science
Department: Statistics and Data Science
Employee Referral Eligible: No
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.