Me postulé en línea. El proceso tomó 3 semanas. Acudí a una entrevista en Ericsson (Santa Clara, CA) en oct 2020
Entrevista
Round 1: Technical interview for 30 min. Interviewer asked about several topics related to data science. The first topic was about convex optimization which I had listed as relevant coursework on my resume. Other topics included linear regression, linear separability, and imbalanced data. I was able to answer the majority of the questions. After 30 minutes, the interviewer asked if I would like to continue to which I responded yes. We continued for another 30 minutes for a total of 1 hour. Recruiter replied within 1 business day that I had passed.
Round 2: ML coding interview for 90 min. I was given a time series dataset to predict disaster scenarios and instructed to code a solution on my local machine and share my screen. I had no experience or familiarity with any time series algorithms or imbalanced data classification problems so I found the problem difficult to do within 90 min. Recruiter replied within 1 business day that the interview did not go well.
interview process was smooth after hr phone screening i got first managerial round in 2 days. interview was on zoom but person who is taking my interview is in hurry so he wrap it up in 30 min only
Preguntas de entrevista [1]
Pregunta 1
basic python
fabonaci series
pandas
xgboost
feature engineering
First there was HR Screening after then Technical Round. Process was good, smooth, HR was in each step. Questions were based on Stat, ML, Algo, Gen AI, Regression, classification,Models, Resume
Me postulé en línea. El proceso tomó 1 día. Acudí a una entrevista en Ericsson (North Twenty Four Parganas) en mar 2024
Entrevista
The interview process was very smooth and provided great sense of experience. Japan really looks deep into the knowledge of employees and their skills regarding multitasking which is a very positive side.