9 Influential Women in Data Sciences to Follow On Twitter
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 influential women in data science.
1. Monica Rogati
Independent Data Science and AI Advisor to about a dozen companies, ex-VP of Data at Jawbone, Guest Lecturer at Stanford University.
2. Julia Silge
Data Scientist at Stack Overflow, with a background in physics, astronomy and education. Co-author of the book, “Text mining with R”.
3. 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).
4. Elena Grewal
Head 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.
5. Carla Gentry
Data Scientist with 15 years of experience, founder of Analytical Solution, has worked with Johnson & Johnson, Hershey, Kraft, Kellogg’s and Firesto.
6. Claudia Perlich
Chief 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.
7. Megan Price
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.
8. Yael Garten
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
9. Fei-Fei Li
Chief Scientist, Machine Learning and Artificial Intelligence at Google Cloud, Professor of Computer Science at Stanford University, Director, Stanford AI Lab.
There are many more good data scientist women working and you can follow on twitter these are our picks.
