
Devoteam Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 16 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Devoteam.
Data Scientist
HR reached out and we had a pleasant conversation. Following that, I was invited for a more technical interview, which didn't involve solving any specific problems.
- Tell me about your passion and how it connects to being a data scientist.
Data Scientist
I applied through external HR, and it was supposed to be two rounds: one technical and one business. I only completed the first round. Two senior data scientists were present. The first interviewer started on time, introduced himself, and then asked theoretical questions. The second interviewer gave me a dataset for a live assessment, which I found frustrating because it was only 8 minutes, and I could have prepared my environment if I had known beforehand. The meeting ended while the second interviewer was still speaking.
- Could you explain the distinction between bagging and boosting, and in bagging, are the samples taken from observations or variables?
- Which are your top three cloud services?
- What's the difference between precision and recall?
Data Scientist Intern
The interview process has a few parts. First, there's an HR chat where we mostly talk about my background, why I want this role, and my soft skills. Then, the second part is a technical interview with the manager. This is where we dive into more specific questions about the job, like my technical skills, how well I understand what the role involves, and if I can solve real problems related to what the company does.
- There were questions about feature selection. How do you evaluate a machine learning model's performance?
- How do you deal with missing data in a dataset?
Devoteam Data Scientist Interview Questions
Quoted word for word from Devoteam interview reports.
“What's the difference between precision and recall?”
Read reports →“Can you explain the concept of weight balancing in logistic regression?”
Read reports →“Can you explain the difference between PUSH and POST HTTP requests?”
Read reports →“Could you explain the distinction between bagging and boosting, and in bagging, are the samples taken from observations or variables?”
Read reports →“Can you explain the mechanics of logistic regression?”
Read report →“Can you explain the workings of logistic regression?”
Read report →“How do you deal with missing data in a dataset?”
Read report →“Can you explain the workings of logistical regression?”
Read report →“There were questions about feature selection. How do you evaluate a machine learning model's performance?”
Read report →Formats, difficulty and experience
Across all 16 Devoteam interview reports.