Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Robinhood nel mese di nov 2021
Colloquio
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.
Domande di colloquio [1]
Domanda 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.
Domande di colloquio [1]
Domanda 1
One Python question and two SQL questions. The problem is relative to the real world.
Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Robinhood nel mese di mar 2022
Colloquio
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.
Domande di colloquio [1]
Domanda 1
SQL, product sense, probability, regression through CodeSignal.