[1]: http://incanter.org/
[2]: https://github.com/joshuaeckroth/clj-ml
[3]: http://quil.info/
I use Clojure for any data science type tasks I have, but that is because I am primarily a Clojure developer.
It is very nice for a lot of basic data analytics -- but I doubt many full time data scientists use Clojure as their primary tool. The number of libraries available for R and Python is pretty amazing.
I wrote some proof-of-concept code for submitting Python Celery tasks from Clojure. I should polish it up, get return values working and publish it... You could then farm out certain tasks to Python when it makes sense (eg because of existing code, libraries or just familiarity of team members). Best of both worlds, kinda ;-)
It has the ability to autotranslate data between different languages.