J'ai postulé en ligne. Le processus a pris plus d'une semaine. J'ai passé un entretien chez Pocket Gems (San Francisco, CA) en août 2021
Entretien
For the first round,
The HR will reach out to you and give you a take-home assignment to complete within 10 calendar days.
You may have to do data analysis from 4 different datasets for the first part and the second part you will have to implement a machine learning model.
Questions d'entretien [1]
Question 1
1. Specify a target group of users for the promotion. Briefly justify your choice using the sample data. (Recommended time: 60 mins for exploratory data analysis, 30 mins for deciding on parameters of the target group.)
2. Build a simple machine learning model in Python to predict a user’s probability of conversion. Please note: we’re not looking for anything complicated here — we’re more interested in how you build a model, which data you choose to train the model, and how you define your target variable. Please do not spend a lot of time obsessing over feature selection, feature engineering, or hyper parameter tuning. (Recommended time: 90 mins.)
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Pocket Gems (San Francisco, CA) en juin 2023
Entretien
Phone screen, take home assessment, panel interview. The take home assessment had me analyze the data, then make a recommendation on which segment of the market to target for a new paid feature. The hiring manager said there were no wrong answers, but when asked why I did not move forward, they told me my analysis was incorrect.
Questions d'entretien [1]
Question 1
Which players should we target for our new feature?
J'ai postulé en ligne. J'ai passé un entretien chez Pocket Gems
Entretien
It was pretty good. Few statistical questions asked. The interviewer was patient and would lead you when you were not sure about the answer. An assessment was given after the interview.
Questions d'entretien [1]
Question 1
p-value definition/ career goal/ confidence interval
