Why Is There A Dearth Of Women In Data Science

This article investigates the reasons behind the scarcity of women in data science, including the gender pay gap, limited career growth, male-dominated culture, and lack of mentorship. It notes that despite women comprising 55% of university graduates, only a small percentage enter data science (15-22%). Societal stereotypes, a perception of the field as theoretical and competitive, and workplace issues like bullying also contribute. The author suggests promoting STEM education for girls and addressing biases in recruitment and promotion to foster inclusivity.