Show Notes:

• (2:22) Matthias recalled his experience getting a Master’s Degree in English, History, and Political Science from the University of Regensburg in Germany.


• (3:19) Matthias discussed his Master’s Thesis looking at the formation and transformation of 9/11-memory in American news weeklies as well as the importance of project management skills.


• (6:00) Matthias talked about his 2 years with the Professional Teacher Training Program working for the Bavarian Government.


• (7:48) Matthias extracted the most useful skills obtained from his experience as an academic high school teacher.


• (9:33) Matthias went over his decision to pursue a Ph.D. in Linguistics at Ball State University in 2013.


• (12:04) Matthias explained why he chose to study Linguistics.


• (13:01) For his Ph.D. dissertation, Matthias did an in-depth analysis of German tweets, where he investigated the interaction between language, demographics, and personality of German users on Twitter.


• (15:52) Matthias discussed in detail his end-to-end data science approach towards his Ph.D. thesis project.


• (22:38) Matthias provided insights on the challenges in dealing with linguistic data.


• (25:35) Matthias talked about the benefits of getting a certificate in statistical modeling, including learning about Generalized Linear Models.


• (29:15) Matthias mentioned his work as a data science consultant at Ball State’s Digital Scholarship Lab.


• (31:20) Matthias gave out resources to learn data science using the R statistical language, including DataCamp, Udemy, Coursera, and Lynda.


• (35:26) Matthias reflected on his job search experience for a data science role after finishing his Ph.D. degree coming from a non-traditional background.


• (42:30) Matthias went over interesting projects that he has involved with at LiveIntent, his current employer.


• (45:18) Matthias talked about his recent move from a Data Analyst role to a Data Analytics Manager role.


• (47:10) Matthias emphasized the value of communication skills as a data science leader.


• (49:55) Matthias identified the single biggest difference between doing data science in the industry versus in academia.


• (53:09) Matthias briefly talked about the data science community in New York (check out New York R User Group Meetup).


• (54:13) Closing segments.

His Contact Info:

• LinkedIn


• Website


• GitHub

His Recommended Resources:

• Setting up an AWS EC2 instance with RStudio Server and TensorFlow GPU


• Airbnb’s One Data Science Job Doesn’t Fit All


• Hadley Wickham and Garrett Grolemund’s "R for Data Science"


• Leonard Mlodinow’s “The Drunkard’s Walk: How Randomness Rules Our Lives"

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe