
eClerx Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 7 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at eClerx.
Data Scientist
It was one round of technical questions about my past experience and skills. They asked about data science projects I've worked on, both from industry and academics. There were also Python questions and a general overview of cloud fundamentals, specifically AWS. We also discussed a business use-case and how a solution could be implemented to address it.
- Can you detail the data science projects you have been involved in?
- What was the specific problem or use-case you addressed in your past projects?
- What was the reasoning behind choosing the particular solution you implemented?
Data Scientist
They came to our college for campus hiring. The first round was a coding round, followed by an MCQ round on ML algorithms. Candidates were shortlisted based on these first two rounds. After that, there were two PI rounds: a technical interview with the manager and an HR interview. The placement department announced the results afterwards.
- Can you explain what random forest is?
- Could you describe neural networks?
- What do you know about backpropagation?
Data Scientist
So there were 3 rounds. First was a technical interview where they mostly asked about SQL and Python, and then there were some case study questions about web analytics. The second round was with the hiring manager, and it was a case study about market analysis. The last round was with the program manager.
- Questions were asked about SQL and Adobe Analytics.
- Questions based on SQL and adobe analytics.
eClerx Data Scientist Interview Questions
Quoted word for word from eClerx interview reports.
“Can you explain the indicators of overfitting?”
Read reports →“Can you explain what random forest is?”
Read reports →“Could you describe neural networks?”
Read reports →“What do you know about backpropagation?”
Read reports →“Was the implemented solution designed to be scalable?”
Read report →“What steps could be taken to enhance the scalability of the solution?”
Read report →“What was the emphasis on SQL?”
Read report →“Could you explain the implementation process of the solution?”
Read report →“Can you describe your current project, focusing on employee churn prediction?”
Read report →Formats, difficulty and experience
Across all 7 eClerx interview reports.