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SLB Data Scientist Interview Questions
& Process

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

Based on 35 interview experiences · FREE TO READ

2.2 Rounds average
Average Typical difficulty
65.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at SLB.

Showing 3 of 35
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SLB

Data Scientist

Analytics · nearly a year ago

Mid Average Positive experience Accept offer 3 rounds
Interview process
Technical screen Recruiter call Take home
Interview formats
Technical Behavioral Coding

The interview had a technical round and then an HR round. Both had a mix of technical and HR questions. There was also a hackathon, and they selected candidates based on their performance in it.

Confirmed questions4 questions
  • Tell me about the hackathon project, which involved Spotify data.
  • How was the hackathon scored, and what was your experience with that?
  • What kind of technical questions were asked in the rounds?
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SLB

Data Scientist

Analytics · nearly a year ago

Entry Average Neutral experience No offer 2 rounds
Interview process
Technical screen Recruiter call
Interview formats
Technical Behavioral Other

It was a first round exam with highschool physics, mechanical engineering, maths and general questions. Then there was a second round HR interview with behavioural questions and a small technical written test about your specific field.

Confirmed questions1 question
  • What would be a deal breaker for you when considering employment at a company?
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SLB

Data Science Intern

Analytics

Intern Difficult Positive experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

The 10-minute interview validation call was pretty chill, more like a chat than a formal interview. They really dug into what was on my CV, asking specific details about projects, the tough parts, and how I got through them. They seemed really interested in the background of my past jobs, the skills I used, and what happened as a result. They asked more questions to really get a feel for how I solve problems, work with others, and adjust to different things. This relaxed chat let me talk easily about my background and give a full picture of my work history. Basically, the validation call was for them to check my CV and see if I really knew my stuff and could handle real problems.

Confirmed questions1 question
  • Tell me about your experience building ML models at ... and what you did to improve prediction accuracy.

SLB Data Scientist Interview Questions

Quoted word for word from SLB interview reports.

Could you write a Python function that checks if a number is odd or even?

Read reports

Given 50 USD coins, what's the chance of picking a 1 cent coin when selecting one at random?

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Can you explain what logistic regression classifier is?

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What features should be considered to characterize a drill?

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Could you explain the distinction between supervised and unsupervised machine learning?

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Can you explain the difference between an inner join and an outer join?

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Formats, difficulty and experience

Across all 35 SLB interview reports.

Interview formats

Technical 36%
Behavioral 29.3%
Coding 20%
Presentation 9.3%
Other 1.3%

Interview difficulty

Easy 20%
Average 71.4%
Difficult 8.6%

Candidate experience

Positive 65.7%
Neutral 17.1%
Negative 17.1%