Furthermore, it is not constrained to a certain age group, according to De Queiroz. Given that data science doesn’t require a certain background, it presents an ideal stepping stone for those interested in joining the field. And I’m like, oh wow, this is amazing and I wanna do this over and over and over again. So I want to be that person to inspire others … because that’s so valuable.” “And once I was tracing my path, I started to see people looking at me like, you inspire me so much. “I joke that I want to be the role model that I never had,” she said. Make sure that you have a mentor that can support you through this trajectory, because it’s not easy.”īased on the diverse application of data science in different areas like climate change and police violence, inspiring others is critical for enhanced penetration into this field, according to De Queiroz, who said that she took up the mantle of motivating other women. So when you have a community, you see people like you. “There is no one that you can bounce ideas off that you can share what you are feeling or that you can learn as well. “If you don’t have a community around you, it’s so hard to navigate you are lonely,” she said. Mentorship is also vital for motivation purposes, she added.
Since the beauty of data science is that it cuts across different domains, being part of a community plays an instrumental role, especially for women when it comes to navigating this sector, according to De Queiroz. The importance of a data science community They discussed the importance of the R-Ladies organization and the challenges and rewards of being a woman in the data science field. I would be in the corner. So that’s how R-Ladies all came together.”ĭe Queiroz spoke with theCUBE industry analyst Lisa Martin and special co-host Tracy Zhang at the Women in Data Science (WiDS) event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. “I felt that as a Latina and as a woman, I was always in the corner and I was not being able to participate and … be myself and to network and ask questions. “I was using R back then and I’m like, ‘How about I do something with R I love R, I’m so passionate about R What about if I create a community around R but not a regular community?’” De Queiroz said. R-Ladies was formed in 2016 to motivate more women to join the data science space and promote gender diversity in the R statistical programming language, according to Gabriela de Queiroz (pictured), principal cloud advocate at Microsoft and R-Ladies founder. But the gender gap in data science is still a problem, even in 2023.
With data becoming the lifeblood of enterprises, fundamental roles like data science have sprung up to get the best out data.
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