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SecurityScorecard Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 6 interview experiences · FREE TO READ

3.7 Rounds average
Average Typical difficulty
83.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at SecurityScorecard.

Showing 3 of 6
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Data Scientist

Analytics · more than a year ago

Senior Easy Neutral experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Behavioral

I had a quick chat with the hiring manager, but then the team decided to not move forward. It was a typical data science interview.

Confirmed questions4 questions
  • Can you describe a project you've worked on?
  • What's your familiarity with different ML algorithms, packages, and tools?
  • Explain the Central Limit Theorem.
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SecurityScorecard

Data Scientist

Analytics · more than a year ago

Senior Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Technical screen Take home Presentation
Interview formats
Behavioral Technical Coding Presentation

It was a pretty standard interview process for a Data Scientist role, but everything was really smooth and clear. Unlike some of the super long ones I've done before, the interviews in the same round were scheduled within a couple of days, which gave me a good idea of where I stood. The interviewers were all friendly, professional, and asked good, prepared questions. The team and HR kept me updated after each stage. The interview involved talking with HR, the team leader, and some team members. After that, I had a take-home exercise to test my skills on a Data Science problem. It was a challenging problem, but they weren't looking for a perfect solution, more so my logical approach and thought process. Finally, I had to give a presentation to discuss my findings with the team.

Confirmed questions3 questions
  • Could you discuss some general data science questions?
  • What's your basic understanding of cybersecurity?
  • How do you feel about working in a startup and agile environment?
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SecurityScorecard

Data Scientist

Analytics

Mid Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Onsite Take home
Interview formats
Behavioral Technical Presentation

The interview process was really good. It had two main parts. First, you met the whole team in several meetings to discuss your past work and projects. Second, there was a take-home assignment that gave you a feel for the type of work they do. It was one of the best interview experiences I've had. No timed tests or definition questions. They really value honesty, critical thinking, resourcefulness, communication, openness to learning, and a bit of a hacking spirit. It's key to be honest and prepared to talk about your previous projects.

Confirmed questions1 question
  • Tell me about a past project you're most proud of.

SecurityScorecard Data Scientist Interview Questions

Quoted word for word from SecurityScorecard interview reports.

What's your familiarity with different ML algorithms, packages, and tools?

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Can you share an instance where you experienced failure?

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How do you feel about working in a startup and agile environment?

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Can you tell me about a data science project you worked on?

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Can you tell me about the projects listed on your resume?

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Formats, difficulty and experience

Across all 6 SecurityScorecard interview reports.

Interview formats

Technical 37.5%
Behavioral 37.5%
Presentation 18.8%
Coding 6.2%

Interview difficulty

Easy 16.7%
Average 83.3%
Difficult 0%

Candidate experience

Positive 83.3%
Neutral 16.7%