Quantiphi Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 10 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Quantiphi.
Quantiphi
Data Scientist
Mid Average Negative experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Behavioral
First, there was HR Shortlisting. Then, HR scheduled a 30-minute Technical Interview. The interviewer was 10 minutes late. He conducted the interview for 45 minutes. I had a meeting and asked him to end the interview, but he insisted on asking a few more questions. It was very unprofessional. When I asked him some counter-questions, he said only he could ask the questions.
Confirmed questions6 questions
- Could you define Data Science?
- What distinguishes Data Analysis from Data Science?
- Does Deep Learning fall under the umbrella of Data Science?
Quantiphi
Data Scientist
Entry Average Negative experience No offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Technical
The first round was about the projects I'm currently working on. The second interview round was really disappointing because it felt like a one-way conversation where only I was speaking. They asked questions like 'explain Random Forest' and 'explain this, explain that,' but nothing about the underlying concepts of the algorithms. I got the impression the interviewer didn't know those things herself. It wasn't a good way to conduct an interview.
Confirmed questions3 questions
- Can you explain SVM?
- Can you explain Random Forest?
- Could you explain metrics for classification algorithms, like Log loss?
Quantiphi
Data Science Consultant
Mid Difficult Positive experience No offer 3 rounds
Interview process
Phone screen Onsite Recruiter call
Interview formats
Technical Behavioral
First, there was a phone interview, then a face-to-face interview, and finally an HR round. The main topics covered were data analysis, data clustering, statistics, k-means algorithm, and in-depth stats with formulae and model building. It's important to have clear concepts and in-depth knowledge of statistics and data analysis techniques.
Confirmed questions2 questions
- Can you tell me more about the projects you've worked on?
- Explain logistic regression.
Quantiphi Data Scientist Interview Questions
Quoted word for word from Quantiphi interview reports.
“Regarding Gradient Descent, is Word2Vec a Shallow or Deep Neural Network?”
Read reports →“Does Deep Learning fall under the umbrella of Data Science?”
Read reports →“Can you compare BERT LSTM and GRU?”
Read reports →“What distinguishes Data Analysis from Data Science?”
Read reports →“Could you explain metrics for classification algorithms, like Log loss?”
Read report →“Explain logistic regression.”
Read report →“Can you explain Random Forest?”
Read report →“What are the key Python skills for data analysis?”
Read report →“Could you define Data Science?”
Read report →Formats, difficulty and experience
Across all 10 Quantiphi interview reports.