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# System prepended metadata

title: Careers in Data Science
tags: [ResBaz2021]

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tags: ResBaz2021
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# Careers in Data Science
## Thursday, May 20th, 2021 3\:00-4\:00

[Back to Resbaz HackMD Directory](https://hackmd.io/@ResBaz21/directory)

**Panel on Careers in Data Science**

Panel Moderator: Karen De La Rosa

Panelists
- Keaton Wilson, Data Scientist at Martin & McCoy
- Jiali Chan, Machine Learning/AI Engineer at Facebook
- Nicholas Dirienzo, Data Scientist at U-Haul International

Summary
An increasing number of university-affiliated professionals are gaining an interest in pursuing data science jobs outside of academia. Hence, this panel will feature a group of data scientists in corporate roles to assess transitions from academia to industry in terms of professional projection. The speakers will answer questions to better understand these transitions and talk about factors that influenced their decision to work in industry.


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## Introductions
Name, Affiliation, Title, Email, Social Media
- Your Name, University of Arizona, Your title, youremail@email.arizona.edu, your social media


## Questions and Answers
In this section, you can post your questions and feel free to answer if you have it. Questions will be answered during or after the workshop.

1. Ask your question.
    - Here is an answer


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:::info
**Session Feedback :mega:**

Use the link below to provide your feedback on the session: 
[**Session Feedback Form**](https://forms.gle/TrnJpr9qRBEKdnVVA)
:::

