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.

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.