Mô tả công việc
The Opportunity:
As a Lecturer in Data & Analytics, you will contribute to building a strong academic and practical foundation for our students. You will deliver structured knowledge, facilitate hands-on learning, and mentor students toward achieving academic and industry excellence.
Key Responsibilities (What You'll Do):
- Teach & Inspire: Deliver high-quality lectures, practical sessions, and workshops aligned with course outcomes.
- Curriculum Enhancement: Develop syllabi, lesson plans, assessments, and learning resources tailored to modern industry demands.
- Student Mentorship: Guide students through problem‐solving, academic development, career orientation, and project execution.
- Assessment & Evaluation: Design formative and summative evaluations that accurately measure learning progression.
- Academic Engagement: Participate in departmental activities, academic discussions, continuous improvement, and quality assurance.
Yêu cầu
Candidate Profile (Mandatory Requirements):
Foundational Qualifications:
A Master's degree or higher in Computer Science, Information Technology, Data Science, or a related field.
At least 3 years of relevant teaching, industry training, or professional experience.
Excellent communication skills and a strong commitment to student development.
Technical & Methodological Expertise:
Statistical analysis, exploratory data analysis (EDA)
Data visualization and storytelling
Predictive modeling and supervised/unsupervised learning
Feature engineering and model evaluation
Analytical frameworks and applied modelling techniques
Practical & Industry Engagement:
Demonstrated involvement in industry, research, or applied projects.
Ability to bring real‐world case studies and professional insights into the classroom.
Strong professional network to support student activities such as guest lectures, workshops, and career opportunities.
Courses You May Teach: Data Analytics, Advanced Data Analysis, Analytical Model and Applied Analytical Model, Machine Learning, etc.
What We Offer:
Competitive compensation based on experience and expertise.
Professional, supportive, and international working environment.
Opportunities for career advancement, academic research, and conference participation.
Access to a broad expert network through the EQuest ecosystem.
Various opportunities in EQuest Education Group
Quyền lợi
Thưởng
Thưởng tháng và thưởng cuối năm theo kết quả
Chăm sóc sức khoẻ
Du lịch team building trong & ngoài nước hằng năm
Nghỉ phép có lương
Cơ hội công tác kết hợp du lịch tại Mỹ, Thuỵ Sĩ
Thông tin khác
NGÀY ĐĂNG
[protected info]
CẤP BẬC
Nhân viên
NGÀNH NGHỀ
Giáo Dục > Giảng Dạy/Đào Tạo
KỸ NĂNG
Data Analysis, Teaching, Training
LĨNH VỰC
Giáo dục/Đào Tạo
NGÔN NGỮ TRÌNH BÀY HỒ SƠ
Bất kỳ
SỐ NĂM KINH NGHIỆM TỐI THIỂU
Không hiển thị
QUỐC TỊCH
Không hiển thị
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Thông tin chung
Nơi làm việc
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 03/01/2026
