Understanding intersectionality is crucial for designing equitable compensation policies in data science. Advocacy for transparent pay scales, targeted recruitment, and mentorship programs that consider both race and gender helps shift compensation trends toward fairness for women of color, promoting greater inclusion and retention in the field.
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