Had a call with a Data Scientist on the team in regards to my work experience,skills etc.
Thought it extremely stupid when he asked me how confident I was in programming in R even though the job description gave the usual tech skill requirements such as Python etc.
Apparently the reason he asked was because they were unable to utilize python as a primary programming language due to the fact that they did not have authorization to install XGBoost in Python and only in R.
That alone gave me an idea of how slow the company works and the amount of red tape you will need to deal with if you work there.
* a clear interview with a good process
* i felt comfortable through out the interview
* basic intro interview as you might imagine in the normal world of Earth
* prepare as you normally would on any other occasion, pertaining to the interview of the data scientist kind
hr interview, hirining manager interview, onsite full day interview. It was a stright forward process. The interview was not that hard, however it depends on the job specific questions. You need prepare behavioral questions too.
I applied through a recruiter. The process took 4 weeks. I interviewed at Chase (London, England) in Apr 2022
Interview
Really easy, nothing too complicated, hiring manager seemed keen and seemed to know what he was looking for. Technical interviews were just SQL, with someone based in India.
Final interview was with a contractor, which was a bit odd in retrospect. He didn't really ask many questions about what I know, what I can do, about my experience, etc. Just talked about himself then asked some very basic SQL questions for reasons, and talked a bit about Tableau. Anyway, it wasn't clear what he wanted to know, or even IF he wanted to know anything, so I didn't know what to make of that.
In the end, Chase just ghosted me, they did not even bother to message about an outcome. I didn't "Chase" for feedback either.
Weird.
Interview questions [1]
Question 1
How would you select the first transaction of every customer?