{"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\/de\/10-inspiring-women-in-data-science\/","title":{"rendered":"10 inspirierende Frauen aus der Datenwissenschaft, denen man auf Twitter folgen sollte"},"content":{"rendered":"
Vor etwa drei Jahren hat Claudia Perlich, leitende Wissenschaftlerin bei Dstillery,\u00a0schrieb <\/a>dass Frauen in der Datenwissenschaft sichtbarer sein sollten und sich aktiv an Plattformen beteiligen sollten, auf denen sie gesehen und geh\u00f6rt werden k\u00f6nnen. A Bericht<\/a> von NCWIT liefert uns die Zahlen - seit 1991 ist die Zahl der Frauen in der Informatik r\u00fcckl\u00e4ufig, aber die Zahl der Frauen in anderen wissenschaftlichen Bereichen ist deutlich gestiegen. Heute treten Frauen in der Welt der Datenwissenschaft und -analyse st\u00e4rker in Erscheinung und nehmen den Platz einiger der einflussreichsten Datenwissenschaftler der Welt ein.<\/div>\n
Von Gr\u00fcnderinnen und Unternehmerinnen bis hin zu Direktorinnen und Beraterinnen - hier finden Sie eine Liste von inspirierenden Frauen in der Datenwissenschaft.<\/div>\n
1. Hilary Mason<\/strong>
\nGr\u00fcnder von Fast Forward Labs, einem Unternehmen, das Unternehmen dabei hilft, ihre Data-Science- und Machine-Intelligence-F\u00e4higkeiten zu verbessern. Au\u00dferdem Scientist in Residence bei Accel (ehemals Accel Partners).<\/div>\n
Folgen Sie Hilary Mason auf Twitter<\/a><\/div>\n
2. Monica Rogati<\/strong>
\nUnabh\u00e4ngiger Data Science- und KI-Berater f\u00fcr etwa ein Dutzend Unternehmen, ehemaliger Daten-VP bei Jawbone, Gastdozent an der Stanford University.<\/div>\n
Folgen Sie Monica Rogati auf Twitter<\/a><\/div>\n
3. Julia Silge<\/strong>
\nData Scientist bei Stack Overflow, mit einem Hintergrund in Physik, Astronomie und Bildung. Mitverfasser des Buches \"Textmining mit R\".<\/div>\n
Folgen Sie Julia Silge auf Twitter<\/a><\/div>\n
\n
4. Renee M.P. Teate<\/strong>
\nF\u00fchrt einen beliebten Blog \u00fcber ihre Reise in der Datenwissenschaft, ist Autorin des Podcasts \"Becoming a Data Scientist\" und gibt regelm\u00e4\u00dfig Ratschl\u00e4ge und Ressourcen f\u00fcr diejenigen, die Datenwissenschaftler werden wollen.\u00a0<\/span><\/div>\n<\/div>\n
\n
Folgen Sie Renee Teate auf Twitter<\/a><\/div>\n<\/div>\n
5. Elena Grewal<\/strong>
\nLeiterin der Abteilung Data Science bei Airbnb, Doktorandin im Studiengang Economics of Education an der Stanford University School of Education, aktive Verfechterin der Vielfalt in der Technologiebranche.<\/div>\n
Elena Grewal auf Twittter folgen<\/a><\/div>\n
6. Fei-Fei Li\u00a0<\/strong>
\nChief Scientist, Machine Learning and K\u00fcnstliche Intelligenz<\/a> at Google Cloud, Professor of Computer Science at Stanford University, Director, Stanford AI Lab.\u00a0<\/span><\/div>\n
Folgen Sie Fei-Fei Li auf Twitter<\/a><\/div>\n
7. Carla Gentry
\n<\/strong>Data Scientist mit 15 Jahren Erfahrung, Gr\u00fcnder von Analytical Solution, hat mit Johnson & Johnson, Hershey, Kraft, Kellogg's und Firesto gearbeitet.<\/div>\n
Folgen Sie Carla Gentry auf Twitter<\/a><\/div>\n
8. Claudia Perlich<\/strong>
\nChief Scientist bei Dstillery; entwirft, entwickelt und optimiert das maschinelle Lernen, das die digitale Werbung steuert; hat \u00fcber 50 wissenschaftliche Artikel ver\u00f6ffentlicht und h\u00e4lt mehrere Patente; aktiver Sprecher der Branche.<\/div>\n
\n

Folgen Sie Claudia Perlich auf Twitter<\/a><\/p>\n

9. Megan Price
\n<\/strong>Exekutivdirektor der Gruppe f\u00fcr die Analyse von Menschenrechtsdaten; entwickelt Strategien und Methoden f\u00fcr die statistische Analyse von Menschenrechtsdaten f\u00fcr Projekte in L\u00e4ndern wie Guatemala, Kolumbien und Syrien.<\/p>\n<\/div>\n

Folgen Sie der Gruppe f\u00fcr die Analyse von Menschenrechtsdaten auf Twitter<\/a><\/span><\/div>\n
10. Yael Garten
\n<\/strong><\/span>Direktorin, Siri Data Science and Analytics bei Apple und fr\u00fchere Direktorin f\u00fcr Data Science bei LinkedIn; Promotion in Biomedizinischer Informatik an der Stanford University; h\u00e4ufige Konferenzrednerin und leidenschaftliche Verfechterin der F\u00f6rderung von Frauen in MINT-Berufen<\/div>\n
Folgen Sie Yael Garten auf Twitter<\/a><\/span><\/div>\n
\n
11. Caitlin Smallwood<\/strong><\/div>\n
Obwohl nicht auf Twitter, w\u00e4re diese Liste nicht vollst\u00e4ndig ohne die Erw\u00e4hnung von Caitlin Smallwood, Vizepr\u00e4sidentin f\u00fcr Wissenschaft und Algorithmen bei Netflix. Sie hat einen Hintergrund in Internetprodukten (Netflix, Yahoo, Intuit) und mathematischer Beratung (PwC, SRA) und ist spezialisiert auf Analytik, Datenstrategie, Empfehlungssysteme, kontrollierte Experimente und mehr.<\/div>\n<\/div>\n
\n
Kennen Sie weitere Frauen in der Datenwissenschaft, die auf dieser Liste stehen sollten? Schreiben Sie uns an contact@kolabtree.com oder twittern Sie uns!<\/div>\n<\/div>\n
—–
\nKolabtree hat \u00fcber 5000 freiberufliche Wissenschaftler und Forscher, einschlie\u00dflich Datenanalysten, von Institutionen wie MIT, Harvard, Stanford und anderen. Es ist kostenlos, Ihr Projekt einzustellen! Los geht's<\/a>.<\/div>\n
<\/div>","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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