At The Data Incubator we run a free eight-week Data Science Fellowship Program to help our Fellows land industry jobs. We love Fellows with diverse academic backgrounds that go beyond what companies traditionally think of when hiring Data Scientists. Jun was a Fellow in our Winter 2017 cohort who has moved to Germany for a job with our hiring partner, Boehringer Ingelheim.
Tell us about your background. How did it set you up to be a great Data Scientist?
I have a background in applied mechanics and engineering. My Ph.D. research simulated the response of randomly structured material, from which I learned a lot about statistical analysis, numerical computing and model development. Moreover, my academic experience fostered in me a “curiosity in data”, which I think is the most important quality for a data scientist.
What do you think you got out of The Data Incubator?
During the program, I got the chance to learn what “data science” really is as an insider. In addition to those data analytics skills, I learned about how data science is applied in different industries, what qualities employers are looking for in a data scientist, what are the “front end” and “back end” of a data science project are and what are the associated skills with each stage. Only after those closer views, I can know what my strength and interest are and how I should prepare for my future career path.