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内容由Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons提供。所有播客内容(包括剧集、图形和播客描述)均由 Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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From Internship to Impact: A Data Scientist’s Journey

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Manage episode 429607694 series 2706384
内容由Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons提供。所有播客内容(包括剧集、图形和播客描述)均由 Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Sydney Hazen, a Privacy Data Scientist at Ford, shares her journey from a college intern to a full-time role. She highlights how internships can lead to job offers and the importance of real-world experience and corporate navigation. Sydney emphasizes applying technical skills with a socially conscious approach, understanding problems before diving into data, and credits her professor and diverse classmates for shaping her perspective. She plans to pursue further education and explore different roles, underscoring the unique position of women in data science and the need for self-advocacy and finding mentors.

Highlights

  • Internship at Ford (8:25)
  • Time at Notre Dame (14:55
  • Influencers (17:54)

Bio

Sydney is a Privacy Data Scientist at Ford Motor Company, as a part of the Ford College Graduate (FCG) rotational program. She is a recent graduate of the University of Notre Dame, with a degree in Applied and Computational Mathematics and Statistics (ACMS) and a minor in Data Science. She has a range of experience spanning software development, data engineering, and analytics and is always looking to gain new knowledge in the technology sphere.

Connect with Sydney

Sydney Hazen on Linkedin

Connect with Us

Chisoo Lyons on LinkedIn

Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)

Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

  continue reading

53集单集

Artwork
icon分享
 
Manage episode 429607694 series 2706384
内容由Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons提供。所有播客内容(包括剧集、图形和播客描述)均由 Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Sydney Hazen, a Privacy Data Scientist at Ford, shares her journey from a college intern to a full-time role. She highlights how internships can lead to job offers and the importance of real-world experience and corporate navigation. Sydney emphasizes applying technical skills with a socially conscious approach, understanding problems before diving into data, and credits her professor and diverse classmates for shaping her perspective. She plans to pursue further education and explore different roles, underscoring the unique position of women in data science and the need for self-advocacy and finding mentors.

Highlights

  • Internship at Ford (8:25)
  • Time at Notre Dame (14:55
  • Influencers (17:54)

Bio

Sydney is a Privacy Data Scientist at Ford Motor Company, as a part of the Ford College Graduate (FCG) rotational program. She is a recent graduate of the University of Notre Dame, with a degree in Applied and Computational Mathematics and Statistics (ACMS) and a minor in Data Science. She has a range of experience spanning software development, data engineering, and analytics and is always looking to gain new knowledge in the technology sphere.

Connect with Sydney

Sydney Hazen on Linkedin

Connect with Us

Chisoo Lyons on LinkedIn

Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)

Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

  continue reading

53集单集

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