How to Bridge the Gender Gap in Tech

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3 min read
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We sat down with three leading women in data science and analytics and asked them about their experience and advice on building more successful data science teams.
The gender gap in technology is not a recent phenomenon; it has been a significant and consistent challenge for companies in the industry. While the number of technical and data-related roles has increased in recent decades, the gender gap is still remaining constant.

With only 22% of all AI professionals represented by women, there are significant opportunity costs associated with a lack of gender diversity. Inclusive teams, including those with more gender diversity, are on average more creative, innovative, and, ultimately, more profitable across sectors and geographies, and the tech industry is no exception.

We sat down with three leading women in data and analytics during the Miami Machine Learning and AI Meetup Week and asked them about their experience and advice on building more diverse data science teams:

Francesca de Quesada Covey , Tech Innovation Advisor at Miami Dade County

, Tech Innovation Advisor at Miami Dade County Laura Gabrysiak , Data Science Manager at Visa & Founder at R-Ladies Miami

, Data Science Manager at Visa & Founder at R-Ladies Miami Selen Onel , Associate Director, Forecasting Analytics at Chewy

This article addresses what it means to be a woman in the industry, how to balance work, and the different ways through which women can get engaged to support each other as mentors or mentees.

What Does it Mean to Be a Woman in Tech?

Working in tech as a woman entails far more than just coding. Some jobs in technology don't even need coding skills at all, such as data analysts, technical recruiters, software sales consultants, and project…
Data Science Salon
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