I gave this talk: https://speakerdeck.com/chewxy/data-science-in-go, I wrote this cheatsheet: https://www.cheatography.com/chewxy/cheat-sheets/data-scienc...
I wrote Gorgonia (https://gorgonia.org). I wrote a variant of AlphaGo in Go (https://www.youtube.com/watch?v=nk87zsxpF1A).
So, to answer your question, yes you are ABSOLUTELY correct in that intuition. I speak several languages - in the data world: R, Python, Julia; In the logic world: Haskell and Prolog (Datalog); In the software engineering world: C, Go, Rust. Go sits right in the middle of all this. From my point of view, it's the right balance and is Thanos' preferred language too.
On that note, Gorgonia has seemingly recently took off thanks to the heroic efforts of the community - this year there were talks not by me on deep learning in Go using Gorgonia and that kinda made me quite happy.
The names you mention, from Haskell to Rust passing by Julia... if Go indeed "is the right balance"... well it really makes sense based on what Pike, Ken, Russ and others said/say, and my related parts in my 20+ years of general computer nerding.
(currently listening to your YouTube talk and loving it)
I usually have massive nerves when I give talks. I once remarked how average Go is: https://blog.chewxy.com/2019/02/20/go-is-average/