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How These Three Women Made Mid-Career Pivots Into Data Science

16 December, 2016

How These Three Women Made Mid-Career Pivots Into Data Science

But while widening the so-called “talent pipeline” is one important way to narrow that gap, it’s not the only solution. If girls can be exposed to STEM programs early on in their educational careers, there’s no reason why adult women can’t make the leap into a data-based role later on in their professional ones. In fact, that’s exactly what these three women did—and not from adjacent roles that were heavy on computational skills, but by pivoting out of creative jobs. Here’s how.

MAKING NUMBERS TELL A STORY

Rebekah Iliff, who’s 38, spent the first half of her career exploring her knack for the humanities. She graduated from college with an undergraduate degree in philosophy and went on to acquire a double master’s degree in organizational management and applied community psychology. For the first half of her career, she worked in PR, including running her own agency for tech clients.

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