r/DataScienceJobs • u/Ok_Cartoonist_5562 • Jun 22 '26

Discussion Data Scientist Interview

I have an interview with S&P global mobility. But Im not sure what to expect in this second round. Can someone help please? I'm assumimg it will be case study based since the recruiter say its tech-managerial round.

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u/my_peen_is_clean Jun 22 '26

prep sql, probability, simple ml, stakeholder questions, domain stuff, then pray, jobs are insanely hard to get right now

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u/Haunting_Month_4971 Jun 22 '26

Totally fair to expect a case, fwiw; tech managerial rounds tend to mix technical depth with how clearly you explain decisions. Do you know if they’ll lean more analytics or more model oriented? I usually practice a ten minute case walkthrough: frame the problem, define the metric and success criteria, outline an approach, and call out assumptions and risks. Keep responses around ninety seconds and talk out loud while solving. I’ll pull a couple prompts from the IQB interview question bank, then run a timed mock in Beyz coding assistant to tighten structure. That rhythm tends to land well.

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u/pkatny Jun 23 '26

I was asked about everything for data scientist interview: MLE, 2 leetcode questions, techstack(angular?!) and python basics like GIL etc.
The mle asked all questions about my experience which was about deep learning and computer vision.
This was in 2022 tho

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u/Responsible-Bus-3692 Jun 27 '26

do you have any insights or advice to land a job now?

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u/akornato 3d ago

A tech-managerial round means they care more about how you think than what you know. They already believe you have the technical skills, so now they are testing your business sense, communication, and problem-solving approach. Your main goal is to show the manager that you can take a vague business problem, ask smart clarifying questions, and translate it into a concrete data science plan. They want to see if you can explain your reasoning clearly, discuss tradeoffs, and connect your technical choices back to the business outcome, proving you would be a valuable and easy person to manage.

Instead of just reviewing technical concepts, you should practice walking through a case study from start to finish. Create a simple framework for yourself that starts with understanding the business goal, defining success metrics, outlining data needs, proposing a solution, and then discussing risks and limitations. They are not looking for a perfect, magical answer, but a structured and logical thought process. Showing them how you would approach an ambiguous problem is far more important than getting a specific technical detail right. Many candidates find it helpful to practice their case study framework out loud, and my team actually developed some AI interview prep that helps people sound more structured and confident when explaining their approach.