
nference Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at nference.
Data Scientist
I applied online and they got back to me pretty fast. The interview was quick, just one person asking simple questions. It was a pretty easy and fast process with good communication. The lead interviewer had a bit of a bad attitude though.
- How do you handle conflicts at work?
Data Science Intern
There were 2 rounds in total. The first round was mainly a resume screening where the interviewer probed into my past work, presenting challenges and asking me to elaborate on how I tackled a problem similar to what I had done before. This round was the deciding factor for my selection. The second round focused on fundamental DSA and ML algorithms. It was a coding interview where I had to provide a function's output or pseudocode.
- Resume Grinding DSA round (without complex concepts)
- Implementation of ML algorithms
Data Scientist
I spoke with Mark Kalanich and was informed about a coding interview. He mentioned I could postpone it due to a busy week, but by the time I started, the link was broken. After several emails, I found out they were no longer hiring.
- A typical Leetcode question, with 1 hour to complete 3 questions.
nference Data Scientist Interview Questions
Quoted word for word from nference interview reports.
“Tell me about Binary Search Trees and ML/DL concepts.”
Read reports →“Can you tell me about your experience with Python?”
Read reports →“Can you discuss your experience in healthcare research?”
Read reports →“How do you handle conflicts at work?”
Read reports →“Can you discuss your experience in data science?”
Read report →Formats, difficulty and experience
Across all 6 nference interview reports.