Re:Why Are Data Science Leaders Running for the Exit?
by alergico on Friday December 08, 2017 @12:41PM
(#15880397)
Try looking for a company that does take-home assignments (these are mostly Kaggle-type problems). Then you don't need to learn formulas by rote, and the interview can focus on the assignment you did.
Experimental design (statistics) is important, but data science is a team sport. The people specialized in statistics may not be able to code up a deep net, and vice versa.
Computer scientists make great data scientists, especially if you know data infra. If I were to start a team from scratch, I'd focus on software engineers and physicists. Most are willing to pick up some ML to broaden their skills, and the ability to go end-to-end from conception to production is invaluable.
Experimental design (statistics) is important, but data science is a team sport. The people specialized in statistics may not be able to code up a deep net, and vice versa.
Computer scientists make great data scientists, especially if you know data infra. If I were to start a team from scratch, I'd focus on software engineers and physicists. Most are willing to pick up some ML to broaden their skills, and the ability to go end-to-end from conception to production is invaluable.