J'ai postulé en ligne. J'ai passé un entretien chez Robinhood en nov. 2021
Entretien
1. Walk through the churn rate prediction case, from how to get the data, selecting models.
2. Analyze the A/B test case. You must know the details of each step of the A/B test.
Questions d'entretien [1]
Question 1
1. Logistic regression
2. Tree
3. How to deal with covariate imbalance?
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.
Questions d'entretien [1]
Question 1
One Python question and two SQL questions. The problem is relative to the real world.
J'ai postulé via un recruteur. Le processus a pris 2 semaines. J'ai passé un entretien chez Robinhood en mars 2022
Entretien
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.
Questions d'entretien [1]
Question 1
SQL, product sense, probability, regression through CodeSignal.