Intersectionality sheds light on occupational segregation where women of color may be funneled into less visible or lower-paying subfields of data science, such as reporting or data cleaning, rather than high-profile algorithm development or leadership roles. This segregation reinforces compensation disparities as high-value roles command higher salaries.
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