Innovaccer Data Scientist Interview Questions
& Process

First, we had a recruiter call. Then, for the technical screen, I was asked about my projects and my role in them. They also asked about my comfort level with Python live coding and basic SQL. Finally, they wanted to know about the data structures and algorithms I've used, and my experience with large language models.

So the interview process was like this: first, we had a presentation, then an aptitude test. After that, there was a coding test, followed by an HR interview. Finally, there was a technical interview. Honestly, the aptitude test was a bit weird because they invited people from ECE & IC branches, but the test mostly had technical questions (data structures in Java) with only 5-6 actual aptitude questions. There were 25 questions in total to be solved in 25 minutes, and each question got exactly 60 seconds, even if you finished one really quickly. Some questions were super easy, while others were impossible to solve in just 60 seconds. The coding rounds had 2 questions, and we had 1 hour to complete them. Good thing was we could use any language we wanted.

I had a good experience interviewing with Innovaccer. After applying online, I received a call for an interview scheduled for the next day evening. The interview lasted about 35 minutes. Initially, the interviewer asked about my resume projects, wanting explanations on how they were made and how they work. Then, we discussed gradient descent, its connection to loss functions and linear regression, and a classification model problem. Following that, I was given a Python coding challenge to left rotate a list by k places. SQL join concepts were next, including types of joins and a self-join example. Finally, there was a guesstimate question about daily coffee production in India. The interviewer seemed happy with my responses, although I missed one question about the classification model. Two days later, HR called and offered me the Data Science Intern position.