
Dell Technologies Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 63 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Dell Technologies.
Data Scientist
The interview had 3 stages. First, we did a deep dive on 2-3 key projects. Then, we discussed a business problem, focusing on the approach, trade-offs, and impact. There was also some light technical probing, not LeetCode style. Key areas assessed were stakeholder management, ownership, structured thinking under ambiguity, and the ability to connect data to decisions and actions. The focus was on depth, not breadth, of tools.
- Could you tell me about 2-3 of your most significant projects?
- How would you approach this particular business problem?
- What were the trade-offs you considered in your project methodology?
Data Scientist
The first three rounds of the interview went pretty well. The first round was technical with a coding test. The second focused on past work experience and some technical aspects. The third was a Hiring Manager round with a fitment test. Unfortunately, my hiring manager had to conduct one more technical round to reject my profile, which I perceived because the third round was supposed to be the last one as I was told earlier. In this final round, an interviewer from a different team conducted the interview. She started asking me questions on topics I haven't worked on, which I had already mentioned in the previous three rounds. I felt disheartened by this and didn't want to proceed further with the interview. The interviewer smiled and ended the call. I understand it's the company's and hiring manager's choice, and it was my bad luck that I couldn't succeed.
- Can you explain how BERT functions?
- Could you define LLMs?
- Have you had any experience working with LLMs?
Data Scientist
My resume got selected and I went through the interview process. Honestly, it was the worst experience I've had so far. There were three interviewers, and it felt like they were more interested in proving they knew more than me rather than having a discussion. They were kind of taunting me throughout. They threw a LeetCode hard problem at me and expected me to solve it on the spot, which is extremely difficult. If coding is a criterion, they should have a separate coding round or a live coding session beforehand, not a hard LeetCode problem during the interview itself. They really need to pick their interview panel wisely!
- Can you explain the architecture of BERT in detail?
- Can you explain the architecture of Transformer in detail?
- Could you answer some statistics questions, such as about distribution probability?
Dell Technologies Data Scientist Interview Questions
Quoted word for word from Dell Technologies interview reports.
“Given a list like [5,2,25,6,7,56], what is the next largest element for each position? The expected output is 25,25,56,56,56, end.”
Read reports →“What distinguishes neural networks (NNs) from convolutional neural networks (CNNs), and what are some benefits of CNNs?”
Read reports →“Can you explain the difference between a decision tree and a random forest?”
Read reports →“Can you explain the meaning of the three weight matrices, K, Q, and V, within the transformer architecture?”
Read reports →“What are some of the limitations or downsides associated with Large Language Models (LLMs)?”
Read report →“Could you explain the difference between a list and a tuple using a simple analogy?”
Read report →“Could you explain the connection between recall and precision, and what it signifies when there's a significant difference between them?”
Read report →“What would be the most efficient method for combining 100 tables if that were the task?”
Read report →“How would you identify outliers in a dataset presented visually with a scatter plot?”
Read report →Formats, difficulty and experience
Across all 63 Dell Technologies interview reports.