Three rounds. First-round is going over the resume, answering behaviour questions and HR questions, with some technique assessment asking definitions. The last two rounds are technique question with python, sql, stats.
2 interviews. Based on statistics and probability. The interviews were mainly about statistical theory. Each interview was round 30/40 minutes long. As long as you have good statistical knowledge, it was easy to clear.
J'ai passé un entretien chez Afiniti (Washington, DC)
Entretien
Moderate. The interview focused mainly on clarifying key points from my resume along with a mix of general machine learning and statistics questions, and the interviewers were friendly, which made the overall discussion feel engaging, relaxed, and like a genuinely positive two-way conversation.
Questions d'entretien [1]
Question 1
Baysean statistics question, Kmeans clustering, pandas questions, sql questions. Describe a project which you did during grad school.
My interview was for L1 position
First interview took place I was asked questions about probability and stats mainly the problems were conditional probability the interviewer was my hands
second interview was done by director he asked questions about Stats, SQL, ML basics
I got called for third as well because my performance was good in the first interview but reviews for second interview were not very good
Third intervview was again with directory I write sql queries for data filteration, tail testing questions were there from stats and ML questions were asked from Linear reg, logistics reg and decision trees
Questions d'entretien [1]
Question 1
As this was for L1 position as a graduate so they asked about why you wanna choose this field
Thank you for your kind words, we’re pleased you had a positive interview experience and encourage you to explore future opportunities on our careers site: https://www.afiniti.com/careers/
