{"id":2436,"date":"2017-08-29T09:02:27","date_gmt":"2017-08-29T09:02:27","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=2436"},"modified":"2019-11-20T03:23:07","modified_gmt":"2019-11-20T03:23:07","slug":"10-inspiring-women-in-data-science","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/10-inspiring-women-in-data-science\/","title":{"rendered":"10 Inspiring Women in Data Science to Follow on Twitter"},"content":{"rendered":"
About three years ago, Claudia Perlich, Chief Scientist at Dstillery,\u00a0wrote <\/a>that women in data science should be more visible and should actively participate in platforms through which they can be seen and heard. A report<\/a> 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.<\/div>\n
From founders and entrepreneurs to directors and advisors, here’s a list of inspiring women in data science.<\/div>\n
1. Hilary Mason<\/strong>
\nFounder 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).<\/div>\n
Follow Hilary Mason on Twitter<\/a><\/div>\n
2. Monica Rogati<\/strong>
\nIndependent Data Science and AI Advisor to about a dozen companies, ex-VP of Data at Jawbone, Guest Lecturer at Stanford University.<\/div>\n
Follow Monica Rogati on Twitter<\/a><\/div>\n
3. Julia Silge<\/strong>
\nData Scientist at Stack Overflow, with a background in physics, astronomy and education. Co-author of the book, “Text mining with R”.<\/div>\n
Follow Julia Silge on Twitter<\/a><\/div>\n
\n
4. Renee M.P. Teate<\/strong>
\nRuns 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.\u00a0<\/span><\/div>\n<\/div>\n
\n
Follow Renee Teate on Twitter<\/a><\/div>\n<\/div>\n
5. Elena Grewal<\/strong>
\nHead of Data Science at Airbnb, doctoral candidate in the Economics of Education program at the Stanford University School of Education. active supporter of diversity in tech.<\/div>\n
Follow Elena Grewal on Twittter<\/a><\/div>\n
6. Fei-Fei Li\u00a0<\/strong>
\nChief Scientist, Machine Learning and Artificial Intelligence<\/a> at Google Cloud, Professor of Computer Science at Stanford University, Director, Stanford AI Lab.\u00a0<\/span><\/div>\n
Follow Fei-Fei Li on Twitter<\/a><\/div>\n
7. Carla Gentry
\n<\/strong>Data Scientist with 15 years of experience, founder of Analytical Solution, has worked with\u00a0Johnson & Johnson, Hershey, Kraft, Kellogg\u2019s and Firesto.<\/div>\n
Follow Carla Gentry on Twitter<\/a><\/div>\n
8. Claudia Perlich<\/strong>
\nChief Scientist at Dstillery; designs, develops and optimizes the machine learning that drives digital advertising; published over 50 scientific articles and holds multiple patents; active industry speaker.<\/div>\n
\n

Follow Claudia Perlich on Twitter<\/a><\/p>\n

9. Megan Price
\n<\/strong>Executive Director of the Human Rights Data Analysis Group; designs strategies and methods for statistical analysis of human rights data for projects in locations such as Guatemala, Colombia, and Syria.<\/p>\n<\/div>\n

Follow the Human Rights Data Analysis Group on Twitter<\/a><\/span><\/div>\n
10. Yael Garten
\n<\/strong><\/span>Director, Siri Data Science and Analytics at Apple, and former Director of Data Science, LinkedIn; PhD in Biomedical Informatics from Stanford University; frequent conference speaker and passionate about growing Women in STEM<\/div>\n
Follow Yael Garten on Twitter<\/a><\/span><\/div>\n
\n
11. Caitlin Smallwood<\/strong><\/div>\n
Although not on Twitter, this list wouldn’t be complete without the mention of Caitlin Smallwood,\u00a0Vice President, Science and Algorithms 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.<\/div>\n<\/div>\n
\n
Do you know of any more women in data science who should be on this list? Write to us at contact@kolabtree.com or Tweet to us!<\/div>\n<\/div>\n
—–
\nKolabtree has over 5000 freelance scientists and researchers, including data analysts, from institutions like MIT, Harvard, Stanford, and more. It’s free to post your project! Get started<\/a>.<\/div>\n
<\/div>\n","protected":false},"excerpt":{"rendered":"

About three years ago, Claudia Perlich, Chief Scientist at Dstillery,\u00a0wrote that women in data science should be more visible and should actively participate in platforms through which they can be seen and heard. A report by NCWIT gives us the numbers – since 1991, the number of women in computing has been declining, but the<\/p>\n

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