Was asked to book a time to receive a 48 hours data science challenge.
It was basic probability and ML, along with one case-study to predict churns from some data. I'm pretty sure I solved first 3 questions perfectly correctly. For the last case study, I did find all the required metrics and went above and beyond to compute one other inference that wasn't even asked.
After all this, I had to keep following up with the recruiters, eventually to hear that I "wasn't a good fit" Since I believe that I had done exceedingly well, I asked for feedback in-order to know atleast what went wrong.
They said company has a "no-feedback" policy so they can't share anything. A *COMPLETE* waste of one day, without even knowing a good reason why I was rejected.
I have heard recruiters ghosting applicants, so although that wasn't the case with me, but this was as good as zero learning experience.
A former colleague recommended me for the Data Scientist position at Robinhood, which led to an initial phone screen. The technical round was intense, featuring a challenging SQL question about user trading volume and a design question for an A/B test. The time I spent on prachub.com helped significantly; I had just worked on similar scenarios, so it felt familiar. After a few days, I received an offer, which I gladly accepted. The overall experience was tough but rewarding, and I was thrilled to join the team.
The first round was a VI with a senior data engineer. Technical interview, with one Python question and two SQL questions. The interviewer was really nice, and gave lots of hints and instructions.
Interview questions [1]
Question 1
One Python question and two SQL questions. The problem is relative to the real world.
I applied through a recruiter. The process took 2 weeks. I interviewed at Robinhood in Mar 2022
Interview
A recruiter reached out, had a recruiter call, then was directed to complete a timed assessment within 2 weeks. 3 hour time limit. Completed the assessment, then got a rejection email saying they don't give feedback. If I would have known that beforehand I wouldn't have bothered. Company seems to be headed downhill anyway. Stay away imo.
Interview questions [1]
Question 1
SQL, product sense, probability, regression through CodeSignal.
Data Scientist applicants have rated the interview process at Robinhood with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 37% positive. To compare, the company-average is 46.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 26 days to get hired, when considering 19 user submitted interviews for this role. To compare, the hiring process at Robinhood overall takes an average of 25 days.
Common stages of the interview process at Robinhood as a Data Scientist according to 19 Glassdoor interviews include:
One on one interview: 35%
Phone interview: 29%
Presentation: 18%
Group panel interview: 6%
Drug test: 6%
Skills test: 6%
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