Mastering Gap Skills in Data Science

This chapter explores the essential yet often overlooked skills in the data science field, such as monetizing machine learning, effective communication with stakeholders, leadership qualities, software engineering capabilities, and architecting scalable solutions. It emphasizes the importance of these 'gap skills' for data scientists to excel in their careers and achieve longevity. The conversation also touches on ethical considerations in using sensitive data, socially beneficial machine learning applications, and challenges in pricing strategy within businesses.