
BlackBerry 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 BlackBerry.
Data Scientist
The interview was a one hour panel session. They looked at coding skills, logic, and a personal experience question. The coding part was an easy/medium leetcode question.
- Can you walk me through one of your past work experiences?
Data Scientist
This interview experience was with Cylance in Irvine, even though they've been acquired by Blackberry. The interviewer, who was a Cylance employee, came across as intellectually hostile. He seemed like the type who's gotten a PhD and his main goal was to challenge my knowledge, constantly asking 'why?' to everything I said. It felt like peeling an onion; he just kept digging deeper and deeper into the details until I couldn't explain anymore and hit a dead end. He wouldn't stop until that point.
No confirmed questions were included in this interview report.
Data Scientist
It started with an HR phone screen where they talked about the job and my background a bit, and told me what to expect for the hiring manager interview. Then I had a 1 hour interview with the hiring manager. They were super technical and didn't really talk about my past work. It was split into two parts: the first 30 mins was all about deep learning mechanics, and the last 20-30 mins was a coding challenge. The time was tight but the question was fair - implement a common ML algorithm in python. This interview was more about neural network mechanics than others I've done. They were really focused on the technical and coding parts but were nice, and I think it was a good fit for the kind of person they're looking for.
- Regarding activation functions, what led to ReLU becoming more popular than sigmoid?
BlackBerry Data Scientist Interview Questions
Quoted word for word from BlackBerry interview reports.
“Regarding activation functions, what led to ReLU becoming more popular than sigmoid?”
Read reports →“Could you explain the impact of L1 and L2 loss functions on ridge and lasso regression models?”
Read reports →“What are some fundamental machine learning concepts?”
Read reports →“Could you code a well-known machine learning algorithm from scratch?”
Read reports →“Which courses are you currently enrolled in?”
Read report →“What are your strategies for dealing with overfitting?”
Read report →“Tell me about the courses you are taking.”
Read report →“Do you have experience with data validation?”
Read report →“Can you describe some of the projects from your coursework and your specific contributions to them?”
Read report →Formats, difficulty and experience
Across all 10 BlackBerry interview reports.