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Rocket Data Scientist Interview Questions
& Process

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

Based on 28 interview experiences · FREE TO READ

2 Rounds average
Average Typical difficulty
67.9% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Rocket.

Showing 3 of 28
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Rocket

Data Scientist

Analytics · nearly a year ago

Entry Average Neutral experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

The first interview went well. The interviewer verbally agreed to move me to the next round and said they'd reply within a week, but then they ghosted me.

Confirmed questions2 questions
  • What personal information do you have?
  • What is your current knowledge level?
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Rocket

Data Scientist Intern

Analytics · a year ago

Intern Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Behavioral Technical

So basically the process kicked off with two phone interviews with HR, they're gonna help you find a team that fits. After that, there was one last interview with the team. It was a really good experience, no live coding or anything.

Confirmed questions4 questions
  • Tell me about ISMS.
  • Describe your EDA process.
  • Walk me through your resume.
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Rocket

Data Scientist

Analytics · more than a year ago

Mid Difficult Negative experience Accept offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen Take home Onsite Panel Background check Offer
Interview formats
Technical Case Behavioral

It was 4 rounds of interview. First 2 were phone interviews with basic questions. Then a 1 hour video interview with technical questions. After that, I was given a case study to complete in a week. The final round was an in-person interview with a 6-person panel for about an hour, followed by another hour of behavioral questions. It was a really bad experience. The managers were nice, but some of the 'potential coworkers' were really picky and spent 30 minutes quizzing me, which felt unnecessary after the 1-hour technical interview. One of them was even wrong about a question they asked me. The interview was quite stressful with tons of detailed questions asked rudely. The case study was open-ended with no single right answer, as long as you made reasonable assumptions. However, they insisted on their way of doing things, which made me question their open-mindedness. It's strange because if they want me to join, why be condescending? Even though I did well and got an offer, I'm not comfortable working with those teammates.

Confirmed questions1 question
  • Can you elaborate on the detailed parameters of ML algorithms?

Rocket Data Scientist Interview Questions

Quoted word for word from Rocket interview reports.

Can you explain what Random Forest is and the reason for its name, 'random' and 'forest'?

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Could you explain regression from both a statistical and machine learning perspective?

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Can you explain the difference between supervised and unsupervised learning?

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Can you elaborate on the detailed parameters of ML algorithms?

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What approach would you take for a feature with missing values in over 80% of rows?

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For a given use case, what machine learning algorithms would you select?

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Formats, difficulty and experience

Across all 28 Rocket interview reports.

Interview formats

Behavioral 52.9%
Technical 39.2%
Coding 3.9%
Presentation 2%
Case 2%

Interview difficulty

Easy 28.6%
Average 67.9%
Difficult 3.6%

Candidate experience

Positive 67.9%
Neutral 25%
Negative 7.1%