Ideal candidate should have a bachelor's degree in a quantitative field: mathematics, computer science, physics, economics, engineering, statistics, quantitative social science, etc.
Strong Algorithmic Foundation. Good analytical and problem-solving abilities.
Excellent written and verbal communication skills in order to deliver materials.
Excellent understanding of SQL and NoSQL.
Good knowledge of Statistical Data Analysis: descriptive statistics, inferential statistics, and hypothesis testing.
Proficiency in Python to create end to end Data Science or Machine Learning Project (Data Cleaning, EDA, and modeling).
Having experience with BI Tools (Power BI, Tableau, Holistic, etc.) will be an advantage.
Experience with GCP, Azure or AWS ecosystem is a plus.
Job Description
Deliver Data Science materials (theoretic and practical) to students.
Give exercise during practice and mentoring sessions
Give solutions to students problems during mentoring and practice sessions.
Prepare exercise and class activation such as discussion plan, sharing session, and coding sessions.
Help students to understand Data Science materials through giving extra exercise or re-explain.
Facilitate a dynamic, collaborative, and positive classroom community.
Inspire students to persevere through the challenges of learning a new skill set
Provide auditing, planning, monitoring, evaluation and revision services as professional Data Scientist consultant
Others
Part-time job
Schedule: Mon to Fri at 09.00-12.00 or 14.00-17.00 (2 months period of classes)
