- Course Management: Oversee and maintain Algoritma’s Class Management System, ensuring assignment grading meets SLA standards.
- Syllabus and Curriculum Development: Design, update, and refine syllabi and curricula to align with industry standards, ensuring relevance for both beginners and intermediate learners.
- Class Delivery: Lead engaging and interactive classes, workshops, and bootcamps, using a hands-on, learn-by-building methodology.
- Student Support: Provide mentorship and answer technical data science-related questions through online support, fostering a positive and supportive learning environment.
- Workshop Support: Manage logistics, track attendance, resolve technical issues, and ensure successful workshop execution.
- Content Development: Create and enhance educational materials for students, alumni, and corporate clients, ensuring high-quality and practical resources.
- Pedagogical Excellence: Contribute to the development of tools and strategies to improve teaching effectiveness and the overall learning experience.
Minimum Qualifications
Are you passionate about data science and eager to empower others with valuable skills?
At Algoritma, we’ve been making data science accessible since 2017. Through corporate training, programming workshops, and data science bootcamps, we’ve helped beginners and non-programmers achieve their career goals with a hands-on, learn-by-building approach.
We’re seeking Data Science Trainer and Instructors to join our team of dedicated professionals. In this role, you’ll help students acquire industry-ready skills in R, Python, and SQL, contribute to innovative educational content, and support learners as they navigate their data science journey. You’ll also have the opportunity to deepen your own expertise while making a meaningful impact on the lives of others.
At Algoritma, we believe education transforms lives. If you’re committed to lifelong learning and love teaching, this position offers a rewarding opportunity to grow and inspire.
Requirements
- Education: Bachelor's degree in Mathematics, Computer Science, Information Technology, or related fields (preferred but not required).
- Technical Skills: Proficiency in SQL, R, or Python; experience with statistical tools, computational programming, or database management is a plus.
- Data Expertise: Demonstrated enthusiasm for mastering full-stack data science practices, including data analysis, data mining, and machine learning.
- Passion for Learning: Strong interest in data analytics and a commitment to continuous growth in the field.
- Communication Skills: Ability to mentor and guide students effectively, fostering an engaging and supportive learning environment.
