One of the key factors driving gender pay gaps in data science worldwide is the disparity in educational backgrounds and skill development opportunities. Women often face barriers to entering STEM fields, resulting in fewer women with advanced degrees or specialized certifications in data science. This affects their negotiation power and the roles they qualify for, leading to wage differences compared to their male counterparts.
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