Integrafec Llc Data Scientist Interview Guide

I applied online and pretty quickly got a HackerRank assessment, which was the first real filter. The technical test was not especially difficult, but it was broad: several Python coding questions and SQL questions, all under a time limit of about 40 minutes, with a week to complete it after the email came in. After that I moved on to a quick phone interview, and then the process opened up into a case-style round and a coding round before a final hiring manager conversation. Everyone I spoke with was calm and friendly, which helped a lot because the process felt more like steady evaluation than a stressful grilling.

The most memorable part was the case interview. I was given a dataset and a prompt around fraud detection, and the interviewer wanted to hear how I would think through which variables to prioritize. In another round, I was asked to reason about a medical insurance dataset and identify what might indicate fraudulent providers. The questions were less about memorizing a framework and more about explaining my thought process clearly: what signals I would look for first, how I would separate useful variables from noise, and how I would approach the problem if the data were hypothetical rather than fully specified. There was also a coding assessment where I had to write a few lines using an abstract helper function, and one question that was basically the marble floor problem, which caught me off guard because it was a classic interview puzzle rather than a data science-specific task. I also got a simple conceptual question about CNNs and when they are used.

I didn’t make it through the full process. My takeaway was that this interview leaned heavily on practical judgment: be ready to talk through fraud-related feature prioritization, basic SQL/Python under time pressure, and a few curveball coding or ML concept questions.