{"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\/fr\/10-inspiring-women-in-data-science\/","title":{"rendered":"10 femmes inspirantes en science des donn\u00e9es \u00e0 suivre sur Twitter"},"content":{"rendered":"
Il y a environ trois ans, Claudia Perlich, scientifique en chef chez Dstillery,\u00a0a \u00e9crit <\/a>que les femmes en science des donn\u00e9es devraient \u00eatre plus visibles et participer activement \u00e0 des plateformes gr\u00e2ce auxquelles elles peuvent \u00eatre vues et entendues. A rapport<\/a> par le NCWIT nous donne les chiffres - depuis 1991, le nombre de femmes dans l'informatique est en baisse, mais le nombre de femmes dans d'autres domaines scientifiques a consid\u00e9rablement augment\u00e9. Aujourd'hui, les femmes occupent une place plus importante dans le monde de la science des donn\u00e9es et de l'analytique, prenant la place de certains des data scientists les plus influents au monde.<\/div>\n
Des fondateurs et entrepreneurs aux directeurs et conseillers, voici une liste de femmes inspirantes dans le domaine de la science des donn\u00e9es.<\/div>\n
1. Hilary Mason<\/strong>
\nFondateur de Fast Forward Labs, une entreprise qui aide les organisations \u00e0 acc\u00e9l\u00e9rer leurs capacit\u00e9s en mati\u00e8re de science des donn\u00e9es et d'intelligence artificielle. \u00c9galement scientifique en r\u00e9sidence chez Accel (anciennement Accel Partners).<\/div>\n
Suivez Hilary Mason sur Twitter<\/a><\/div>\n
2. Monica Rogati<\/strong>
\nConseiller ind\u00e9pendant en science des donn\u00e9es et en IA aupr\u00e8s d'une douzaine d'entreprises, ex-VP des donn\u00e9es chez Jawbone, conf\u00e9rencier invit\u00e9 \u00e0 l'universit\u00e9 de Stanford.<\/div>\n
Suivez Monica Rogati sur Twitter<\/a><\/div>\n
3. Julia Silge<\/strong>
\nData Scientist chez Stack Overflow, avec une formation en physique, astronomie et \u00e9ducation. Co-auteur du livre \"Text mining with R\".<\/div>\n
Suivez Julia Silge sur Twitter<\/a><\/div>\n
\n
4. Renee M.P. Teate<\/strong>
\nElle tient un blog populaire sur son parcours dans le domaine des sciences des donn\u00e9es, cr\u00e9e le podcast \"Becoming a Data Scientist\" et partage r\u00e9guli\u00e8rement des conseils et des ressources pour ceux qui souhaitent devenir des scientifiques des donn\u00e9es.\u00a0<\/span><\/div>\n<\/div>\n
\n
Suivez Renee Teate sur Twitter<\/a><\/div>\n<\/div>\n
5. Elena Grewal<\/strong>
\nResponsable de la science des donn\u00e9es chez Airbnb, doctorant dans le programme d'\u00e9conomie de l'\u00e9ducation \u00e0 l'\u00e9cole d'\u00e9ducation de l'universit\u00e9 de Stanford, partisan actif de la diversit\u00e9 dans la technologie.<\/div>\n
Suivez Elena Grewal sur Twittter<\/a><\/div>\n
6. Fei-Fei Li\u00a0<\/strong>
\nChief Scientist, Machine Learning and Intelligence artificielle<\/a> at Google Cloud, Professor of Computer Science at Stanford University, Director, Stanford AI Lab.\u00a0<\/span><\/div>\n
Suivez Fei-Fei Li sur Twitter<\/a><\/div>\n
7. Carla Gentry
\n<\/strong>Data Scientist avec 15 ans d'exp\u00e9rience, fondateur d'Analytical Solution, a travaill\u00e9 avec Johnson & Johnson, Hershey, Kraft, Kellogg's et Firesto.<\/div>\n
Suivez Carla Gentry sur Twitter<\/a><\/div>\n
8. Claudia Perlich<\/strong>
\nScientifique en chef chez Dstillery ; con\u00e7oit, d\u00e9veloppe et optimise l'apprentissage automatique qui alimente la publicit\u00e9 num\u00e9rique ; a publi\u00e9 plus de 50 articles scientifiques et d\u00e9tient plusieurs brevets ; conf\u00e9rencier actif dans le secteur.<\/div>\n
\n

Suivez Claudia Perlich sur Twitter<\/a><\/p>\n

9. Megan Price
\n<\/strong>Directeur ex\u00e9cutif du groupe d'analyse des donn\u00e9es sur les droits de l'homme ; con\u00e7oit des strat\u00e9gies et des m\u00e9thodes d'analyse statistique des donn\u00e9es sur les droits de l'homme pour des projets dans des pays tels que le Guatemala, la Colombie et la Syrie.<\/p>\n<\/div>\n

Suivez le Groupe d'analyse des donn\u00e9es sur les droits de l'homme sur Twitter<\/a><\/span><\/div>\n
10. Yael Garten
\n<\/strong><\/span>Directrice de la science des donn\u00e9es et de l'analyse de Siri chez Apple, et ancienne directrice de la science des donn\u00e9es chez LinkedIn ; docteur en informatique biom\u00e9dicale de l'universit\u00e9 de Stanford ; conf\u00e9renci\u00e8re fr\u00e9quente et passionn\u00e9e par le d\u00e9veloppement des femmes dans les STIM.<\/div>\n
Suivez Yael Garten sur Twitter<\/a><\/span><\/div>\n
\n
11. Caitlin Smallwood<\/strong><\/div>\n
Bien que n'\u00e9tant pas sur Twitter, cette liste ne serait pas compl\u00e8te sans la mention de Caitlin Smallwood, vice-pr\u00e9sidente, Science et Algorithmes chez Netflix. Elle a une exp\u00e9rience des produits Internet (Netflix, Yahoo, Intuit) et du conseil math\u00e9matique (PwC, SRA), et est sp\u00e9cialis\u00e9e dans l'analyse, la strat\u00e9gie des donn\u00e9es, les syst\u00e8mes de recommandation, les exp\u00e9riences contr\u00f4l\u00e9es, etc.<\/div>\n<\/div>\n
\n
Connaissez-vous d'autres femmes en science des donn\u00e9es qui devraient figurer sur cette liste ? \u00c9crivez-nous \u00e0 l'adresse contact@kolabtree.com ou envoyez-nous un Tweet !<\/div>\n<\/div>\n
—–
\nKolabtree compte plus de 5000 scientifiques et chercheurs ind\u00e9pendants, y compris des analystes de donn\u00e9es, issus d'institutions telles que le MIT, Harvard, Stanford, et plus encore. Publier votre projet est gratuit ! Commencez<\/a>.<\/div>\n
<\/div>","protected":false},"excerpt":{"rendered":"

Il y a environ trois ans, Claudia Perlich, Chief Scientist chez Dstillery, a \u00e9crit que les femmes dans le domaine de la science des donn\u00e9es devraient \u00eatre plus visibles et participer activement \u00e0 des plateformes gr\u00e2ce auxquelles elles peuvent \u00eatre vues et entendues. Un rapport du NCWIT nous donne les chiffres : depuis 1991, le nombre de femmes dans le domaine de l'informatique a diminu\u00e9, mais le nombre de femmes dans la science des donn\u00e9es a augment\u00e9.<\/p>\n

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