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Content provided by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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Data Science Leadership: Creating Meaningful Impact

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Manage episode 378285044 series 2706384
Content provided by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Mary Krone explores her career shift from a PhD in chemistry and biochemistry to data science, where she builds financial credit models. She highlights her work’s tangible impact and discusses the challenges of work-life balance.

Mary’s passion for data science’s positive potential in finance shines through as she debunks misconceptions, talks about career paths, and dives into the evolving world of data science and generative AI.

The episode also includes topics of the need for continuous learning and the blend of art and science in data science.

Highlights:

  • Mary’s transition from doing theoretical work to work in the real world (00:34)
  • It takes a “village” to be successful (10:06)
  • Managing a team of data scientists and why she describes herself as “leading teams who use data science for good” (21:01)
  • Mary’s views and optimism about the data science field (33:25)
  • Women’s roles in the future of data science (45:07)

Mentions:

Connect with Mary Krone on LinkedIn

Bios:

Mary Krone believes in using data science for good––to make meaningful and positive impact. Currently, she leads a data science team at Credit Karma, a personal finance company. Previously, Mary held various leadership roles in both technical and management tracks at FICO. Mary holds a PhD in Chemistry & Biochemistry from UC Santa Barbara and a BA in Chemistry and Secondary Education from Vassar College.

New co-host and the WiDS Chief of Programs, Chisoo Lyons spent years in consulting services, working with clients including leading banks and financial services organizations worldwide. She held several leadership positions in consulting, research, solution development, and business-line management. She kick-started her career as a data analyst at FICO. Today, at WiDS, she remains dedicated to supporting and empowering women in data science.

Learn more from data science leaders like Mary on Data Science Leadership: Creating Meaningful Impact.

Connect with Us

Chisoo Lyons on LinkedIn

Follow WiDS on 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

52 episodes

Artwork
iconShare
 
Manage episode 378285044 series 2706384
Content provided by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Mary Krone explores her career shift from a PhD in chemistry and biochemistry to data science, where she builds financial credit models. She highlights her work’s tangible impact and discusses the challenges of work-life balance.

Mary’s passion for data science’s positive potential in finance shines through as she debunks misconceptions, talks about career paths, and dives into the evolving world of data science and generative AI.

The episode also includes topics of the need for continuous learning and the blend of art and science in data science.

Highlights:

  • Mary’s transition from doing theoretical work to work in the real world (00:34)
  • It takes a “village” to be successful (10:06)
  • Managing a team of data scientists and why she describes herself as “leading teams who use data science for good” (21:01)
  • Mary’s views and optimism about the data science field (33:25)
  • Women’s roles in the future of data science (45:07)

Mentions:

Connect with Mary Krone on LinkedIn

Bios:

Mary Krone believes in using data science for good––to make meaningful and positive impact. Currently, she leads a data science team at Credit Karma, a personal finance company. Previously, Mary held various leadership roles in both technical and management tracks at FICO. Mary holds a PhD in Chemistry & Biochemistry from UC Santa Barbara and a BA in Chemistry and Secondary Education from Vassar College.

New co-host and the WiDS Chief of Programs, Chisoo Lyons spent years in consulting services, working with clients including leading banks and financial services organizations worldwide. She held several leadership positions in consulting, research, solution development, and business-line management. She kick-started her career as a data analyst at FICO. Today, at WiDS, she remains dedicated to supporting and empowering women in data science.

Learn more from data science leaders like Mary on Data Science Leadership: Creating Meaningful Impact.

Connect with Us

Chisoo Lyons on LinkedIn

Follow WiDS on 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

52 episodes

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