The overall interview process was good. The company has a talented bunch of people and the job description seemed exciting. I was really excited for the interview but felt that the reason given for rejection was not up to the mark. I had a couple of interviews before onsite. And then around 7 interviews on the day of onsite. Interview 1: An interview with the Data Science Director. Had a resume walk through and discussed job profile in detail. Interview 2: Interview with 2 members of Data Science team. Had detailed resume based questions and some fundamental questions on ML, DL. Onsite interview: Interview 1: ML Design Interview. Discussed end-to-end pipeline for ML problems. Interview 2: Lunch Interview 3: Probability based interview. Discussed and coded a probability based problem Interview 4: Math based interview Interview 5: Coding Interview. Standard DS, Algorithms questions Interview 6: Interview with Data Science Director. Interview 7: Culture fit interview Overall the interview process was long but well managed and fun. But I guess the company gives preferences to local candidates and hence rejects other candidates without giving a proper reason.

1. Hiring manager screen. 2. Phone interview by two team members (questions about fundamentail machine learning models). 3. Onsite with the data science team with three sessions, each session is a problem-solving for a specific modeling task on a white board.