General information:
- Have strong programming skills in Python / R
- Have experience with common numerical & statistical libraries (numpy, scipy, pandas, etc.)
- Have excellent mathematical foundations in relevant fields, including linear algebra, probability, statistics, etc.
- Have knowledge of classical data structures and algorithms
- Have solid foundation in machine learning concepts, such as supervised and unsupervised learning, classification, regression, overfitting & underfitting, decision trees, etc.
- Have solid experience with some of the most common open source machine learning & deep learning libraries (PyTorch, Tensorflow, etc.)
- Be able to explain complex concepts in easy to understand manner
Interested candidates, please send your CVs by indicating “Data Science Instructor” in subject line