Difficulty
Average
Candidate-reported interview insights
Apexon Data Scientist interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Apexon.
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Interview overview
Average rounds
2.3
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy16.7%
average83.3%
difficult0%
Candidate experience
positive33.3%
neutral16.7%
negative50%
Candidate-reported interview process
It was good. First, there was an internal company tech interview, followed by a client round, and then an HR call to discuss the offer. Most of my interview focused on past projects and my tech stack. The client interview also included some easy coding questions and questions specific to the project.
The interview involved questions about IoT sensor data and time series forecasting models. They asked about outlier detection techniques, how to handle missing values, and data cleaning/preprocessing. Also discussed Pytorch libraries and model deployment.
The first round was totally rude. The interviewer didn't seem in the mood for a proper interview. I don't recommend it for experienced people. Don't waste your time.
Common Apexon Data Scientist interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
How to approach business problems and build a project plan including an initial solution draft?
- 2
What are the ML algorithms and what are their applicability and shortcomings?
- 3
Tell me about your past projects.
- 4
Write a code for binary search.
Interview question formats
Technical46.2%
Behavioral30.8%
Coding23.1%
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Interview information is based on candidate reports and may not represent the current official hiring process of Apexon.