Envié una solicitud electrónica. El proceso duró más de 1 semana. Acudí a una entrevista en Pocket Gems (San Francisco, CA) en ago 2021
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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.)
Envié una solicitud electrónica. El proceso duró 2 semanas. Acudí a una entrevista en Pocket Gems (San Francisco, CA) en jun 2023
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 1
Which players should we target for our new feature?
Envié una solicitud electrónica. Acudí a una entrevista en Pocket Gems
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 1
p-value definition/ career goal/ confidence interval
