Correl-Coffee - How to get a Job in Data Science

Correl-Lunch goes Correl-Coffee with our second session!

Did you ever wonder how it is to work as a Data Scientist? Are you interested in becoming one, but unsure about the requirements? Are you a student and wondering what paths others took before you?

Then feel free to ask your questions to our guests. Thomas Keck (Google DeepMind), Matthias Migeot (Landeskriminalamt Rheinland-Pfalz) and Uwe Mertens (Blue Yonder) all graduated from KIT or currently work in Karlsruhe. No agenda and no long monologues: After a short introduction from each speaker the round is open for you to ask them your questions and start discussions.

We would also have a virtual networking session towards the end where you can connect with other data scientists interested in CorrelAid and DataForGood and get to know great pointers to help kickstart your data science career.

We are really looking forward to welcoming you all!!

About Thomas Keck:
Thomas obtained his Ph.D. in High Energy Physics at the KIT in Karlsruhe, working on analysis algorithms for the Belle II experiment.
Currently, he is a Senior Research Engineer at Deepmind working on AGI.
His main interests are in physics and artificial intelligence. He also enjoys discussing philosophy, politics, and IT security.

About Matthias Migeot:
After graduating in physics 2018 at KIT, Matthias moved to Heidelberg to work as a hardware test engineer at Heidelberg Engineering GmbH.
Since April 2021 he’s working at the Landeskriminalamt (state criminal police) Rheinland-Pfalz as a researcher in the field of artificial intelligence.
Generally, he’s very interested in tech-related topics and loves tinkering with Arduinos and watching SpaceX launches.
In his spare time, he’s hiking and cycling a lot and since he just moved to Mainz, he’s doing that even more frequently to explore the city and the surrounding places.

About Ulf Mertens:
After his master’s degree at the Psychological Institute of Heidelberg University, Ulf started his Ph.D. focusing on Deep learning methods for approximate Bayesian inference. In 2019, he joined Blue Yonder as a Data Scientist. In his free time, he loves to do sports - going for a run (preparing for his first half-marathon actually); enjoying bike tours in Odenwald. Also, he used to play table tennis for many many years. Besides sports, he tries to act sustainably and became a NABU member recently.