Like most tech industries, data science has a problem: Research suggests only 15% of data scientists are women, and fewer than 3% are women of color.
in STEM report they have experienced discrimination on the job while 41 percent of women in other fields have experienced workplace prejudice.
According to Abu Salem and other women in the industry, data science needs diversity to offer fresh, innovative ideas to research and development. Women often focus on projects oriented toward the public good rather than those primarily intended to generate profit.
“I throw these topics out every year, and it’s hardly ever a group of male students who comes forward,” she said. “They’re interested in self-driving cars and back-end, front-end design and data engineering.” Essentially, Abu Salem says the way data science works now sets women up for failure: “The reality is, yeah, they’re not good enough for that kind of system because it’s not meant for them.”
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