I applied online. I interviewed at Block in Oct 2020
Interview
About two weeks. Two technical/programming phone screens in SQL and Python, followed by a virtual onsite with technical interviews and business partner interviews. Received result in the next 48 hours.
Interview questions [1]
Question 1
NDA. There was a very easy Excel problem. I chose to code instead. The interviewers are very junior and had difficulty explaining the questions as ESL persons. They also very passively participating in the interviews. They did not ask any question to assess the depth and breadth of ML/statistics knowledge. Mainly bc they're juniors themselves. So the hiring decision is pretty random.
I applied through an employee referral. The process took 6 weeks. I interviewed at Block in Dec 2023
Interview
The interview process was pretty good up until the final FOUR HOUR 'on-site' which included technical components and lots of scenario discussion. One interview expected you to write a rhetorical SQL code with a schema outline but no actual IDE to write or execute the SQL.
I applied online. The process took 2 weeks. I interviewed at Block in Oct 2023
Interview
Spoke with the recruiter about previous work experience. Asks you to describe a project in detail and explained the interview process with consists of a technical assessment and meeting with the hiring team
I applied online. The process took 4 weeks. I interviewed at Block
Interview
It was streamlined and clear. Got to onsite. For the technical onsite The interviewers were somewhat unprepared for the cases and the emphasis was on how on the fly you can write code which I think is a very strange criterion for a role that needs time and experimentation ... it was rushed and disorganised. The nontechnical was just based on churn analysis. Based on my feedback I did a great job on the technical part. I was lacking in the other part so shouldn't comment on that.
Interview questions [1]
Question 1
Technical: fast coding round they expect you to clean and model data in 50 min. Non-tech: churn analysis
