Implicit bias and gender stereotypes remain prevalent in many organizations. Hiring managers and decision-makers may unconsciously favor men for higher-paying or leadership roles in data science, perceiving them as more competent or committed. This discrimination hampers women’s career advancement, maintaining wage disparities.
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