
Teaching Assistant-Data Science
4 days ago
Commitment: 7 sessions × 3 hours per cohort (approx. 21 teaching hours), plus prep time and learner support
Mode: Remote (Live sessions via Zoom, Singapore Time – SGT)
Vertical Institute's Data Science Course provides learners with practical, in-demand skills in Python programming, data manipulation, exploratory data analysis, and machine learning. Through a hands-on, project-based approach, learners are introduced to industry-standard tools such as NumPy, Pandas, and scikit-learn, preparing them for real-world data science roles.
Classes are held during weekday evenings or weekends and led by an experienced instructor, supported by a teaching assistant.
Role OverviewAs a Teaching Assistant, you will support the lead instructor in delivering a smooth, engaging, and effective learning experience. You'll assist learners during live sessions, troubleshoot coding issues, and offer continuous support throughout the course.
Key Responsibilities- Assist the instructor during live Zoom classes
Guide learners through hands-on labs and exercises across all modules, including:
Python programming for data science
- Data wrangling with NumPy and Pandas
- Exploratory data analysis and visualization
- Machine learning concepts (regression, classification) using scikit-learn
- Provide learner support through our Telegram community and e-learning platform, helping to answer questions and resolve technical issues
- Accurately track and mark attendance in compliance with SkillsFuture Singapore (SSG) standards
- Share learner insights and feedback with the academic team to enhance the course experience and outcomes
Qualifications and Skills
- Proficient in Python and key data science libraries (NumPy, Pandas, Matplotlib, scikit-learn)
- Solid understanding of data manipulation, exploratory data analysis, and basic machine learning algorithms
- Ability to explain technical concepts clearly and effectively to beginners
- Confident in virtual facilitation using Zoom, with a reliable remote setup (camera, microphone, stable internet)
- Prior experience as a teaching assistant, mentor, or trainer is an advantage
- Must be Singaporean Citizen / Singapore Permanent Resident
- Competitive hourly stipend
- A platform to strengthen your instructional skills while contributing to learner success
- Opportunities to connect with 30,000+ alumni and 100+ hiring partners in Singapore's growing tech and data ecosystem
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