Requirements

• Completed or pursuing a bachelors or masters degree in computer science, mathematics, statistics, data science or other related fields.
• Intermediate to expert level familiarity with Python and its ecosystem of data science libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Jupyter notebooks)
• Good communication, writing and presentation skills. Experience in conducting tech talks or webinars is a plus.
• A passion for teaching, helping and sharing your knowledge with others.