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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

2 Rounds average
Average Typical difficulty
30% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at BlackBerry.

Showing 3 of 10
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BlackBerry

Data Scientist

Analytics · more than a year ago

Intern Average Positive experience Accept offer 1 round
Interview process
Panel
Interview formats
Coding Behavioral

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.

Confirmed questions1 question
  • Can you walk me through one of your past work experiences?
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BlackBerry

Data Scientist

Analytics · more than a year ago

Senior Difficult Negative experience No offer 2 rounds
Interview process
Recruiter call Phone screen Technical screen
Interview formats
Technical Behavioral

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.

Confirmed questions0 questions

No confirmed questions were included in this interview report.

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BlackBerry

Data Scientist

Research

Mid Difficult Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical Coding

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.

Confirmed questions1 question
  • 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?

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Could you explain the impact of L1 and L2 loss functions on ridge and lasso regression models?

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Could you code a well-known machine learning algorithm from scratch?

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What are your strategies for dealing with overfitting?

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Can you describe some of the projects from your coursework and your specific contributions to them?

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Formats, difficulty and experience

Across all 10 BlackBerry interview reports.

Interview formats

Technical 36.4%
Behavioral 36.4%
Coding 27.3%

Interview difficulty

Easy 20%
Average 50%
Difficult 30%

Candidate experience

Neutral 40%
Positive 30%
Negative 30%