Há cerca de três anos, Claudia Perlich, cientista chefe da Dstillery, escreveu that women in ciência dos dados should be more visible and should actively participate in platforms through which they can be seen and heard. A relatório by NCWIT gives us the numbers – since 1991, the number of women in computing has been declining, but the number of women in other science fields has significantly increased. Today, women are becoming more prominent in the world of data science and analytics, taking the place of some of the world’s most influential data scientists.
From founders and entrepreneurs to directors and advisors, here’s a list of inspiring women in data science.
1. Hilary Mason
Founder of Fast Forward Labs, a company that helps organizations accelerate their data science and machine intelligence capabilities. Also Scientist in Residence at Accel (Formerly Accel Partners).
Founder of Fast Forward Labs, a company that helps organizations accelerate their data science and machine intelligence capabilities. Also Scientist in Residence at Accel (Formerly Accel Partners).
2. Monica Rogati
Consultor independente de ciência de dados e AI para cerca de uma dúzia de empresas, ex-VP de dados na Jawbone, professor convidado na Universidade de Stanford.
Consultor independente de ciência de dados e AI para cerca de uma dúzia de empresas, ex-VP de dados na Jawbone, professor convidado na Universidade de Stanford.
3. Julia Silge
Data Scientist at Stack Overflow, with a background in Física, astronomy and education. Co-author of the book, “Text mining with R”.
Data Scientist at Stack Overflow, with a background in Física, astronomy and education. Co-author of the book, “Text mining with R”.
4. Renee M.P. Teate
Runs a popular blog on her data science journey, creator of the podcast ‘Becoming a Data Scientist’, regularly shares advice and resources for those seeking to become data scientists.
Runs a popular blog on her data science journey, creator of the podcast ‘Becoming a Data Scientist’, regularly shares advice and resources for those seeking to become data scientists.
5. Elena Grewal
Head of Data Science at Airbnb, doctoral candidate in the Economia of Education program at the Stanford University School of Education. active supporter of diversity in tech.
Head of Data Science at Airbnb, doctoral candidate in the Economia of Education program at the Stanford University School of Education. active supporter of diversity in tech.
6. Fei-Fei Li
Chief Scientist, Aprendizagem da máquina e Inteligência Artificial at Google Cloud, Professor of Computer Science at Stanford University, Director, Stanford AI Lab.
Chief Scientist, Aprendizagem da máquina e Inteligência Artificial at Google Cloud, Professor of Computer Science at Stanford University, Director, Stanford AI Lab.
7. Carla Gentry
Data Scientist com 15 anos de experiência, fundador da Analytical Solution, trabalhou com a Johnson & Johnson, Hershey, Kraft, Kellogg's e Firesto.
Data Scientist com 15 anos de experiência, fundador da Analytical Solution, trabalhou com a Johnson & Johnson, Hershey, Kraft, Kellogg's e Firesto.
8. Claudia Perlich
Cientista chefe da Dstillery; projeta, desenvolve e otimiza o aprendizado da máquina que impulsiona a publicidade digital; publicou mais de 50 artigos científicos e detém múltiplas patentes; palestrante ativo da indústria.
Cientista chefe da Dstillery; projeta, desenvolve e otimiza o aprendizado da máquina que impulsiona a publicidade digital; publicou mais de 50 artigos científicos e detém múltiplas patentes; palestrante ativo da indústria.
Siga Claudia Perlich no Twitter
9. Preço Megan
Executive Director of the Human Rights Análise de dados Group; designs strategies and methods for statistical analysis of human rights data for projects in locations such as Guatemala, Colombia, and Syria.
10. Yael Garten
Diretora, Siri Data Science and Analytics da Apple, e ex-diretora de Data Science do LinkedIn; PhD em Informática Biomédica pela Universidade de Stanford; conferencista frequente e apaixonada pelo crescimento das mulheres na STEM
Diretora, Siri Data Science and Analytics da Apple, e ex-diretora de Data Science do LinkedIn; PhD em Informática Biomédica pela Universidade de Stanford; conferencista frequente e apaixonada pelo crescimento das mulheres na STEM
11. Caitlin Smallwood
Although not on Twitter, this list wouldn’t be complete without the mention of Caitlin Smallwood, Vice President, Science and Algoritmos at Netflix. She has a background in Internet products (Netflix, Yahoo, Intuit) and mathematical consulting (PwC, SRA), and specializes in analytics, data strategy, recommendation systems, controlled experiments, and more.
Você conhece mais alguma mulher na ciência dos dados que deveria estar nesta lista? Escreva-nos para contact@kolabtree.com ou Tweet para nós!
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