Ugh, this almost feels like flame-bait. This question invariably leads to a lot of bike-shedding around comments from people who feel strongly about some choices in the Julia language (1-based indexing and what not), and the fact that Julia is still not as polished as some other languages in certain aspects of developer experience.

"Data science" is an extremely broad term, so YMMV. That said, since you asked, Julia has absolutely replaced Python for me. I don't have anything new to add on the benefits of Julia; it's all been said before elsewhere. It's just a question of exactly what kind of stuff you want to do. Most of my recent work is math/algorithms flavored, and Python would be annoyingly verbose/inexpressive while also being substantially slower. Julia also tends to have many more high-quality packages of this kind that I can quickly use / build on.