Scientist Interview Questions

54,330 scientist interview questions shared by candidates

Which of the 10 MBM Koch values do you identify with most strongly, and why? Tell us about a time you went above and beyond on a particular assignment or job duty. Tell us about a time you disagreed with your supervisor, etc.
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PhD Research Scientist

Interviewed at INVISTA

3.7
Dec 3, 2017

Which of the 10 MBM Koch values do you identify with most strongly, and why? Tell us about a time you went above and beyond on a particular assignment or job duty. Tell us about a time you disagreed with your supervisor, etc.

Write a social network that runs in memory. There should be four functions. makePost(userID, postID) follow(followerID, followedID) unfollow(followerID, followedID) showFeed(userID) The show feed function should show the posts made by the user, the posts made by the people the user followed and they should be in chronological order.
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Data Scientist - Machine Learning

Interviewed at Citizen (NY)

2.7
Mar 10, 2025

Write a social network that runs in memory. There should be four functions. makePost(userID, postID) follow(followerID, followedID) unfollow(followerID, followedID) showFeed(userID) The show feed function should show the posts made by the user, the posts made by the people the user followed and they should be in chronological order.

Standard questions about how I tackle business and data problems etc. However, as a data scientist I noticed one potentially red flag: the company is new and fresh in their data science department (although they have a solid data engineering and reporting base), but they want to start straight with GenAI/LLM stuff (Chat-GPT and whatnot). For those unfamiliar: it is pretty much a guaranteed pitfall as people would be using super-complex tools with zero knowledge of their inner workings (think of learning to run before you can walk).
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Data Scientist

Interviewed at Marel

3.8
Jan 28, 2024

Standard questions about how I tackle business and data problems etc. However, as a data scientist I noticed one potentially red flag: the company is new and fresh in their data science department (although they have a solid data engineering and reporting base), but they want to start straight with GenAI/LLM stuff (Chat-GPT and whatnot). For those unfamiliar: it is pretty much a guaranteed pitfall as people would be using super-complex tools with zero knowledge of their inner workings (think of learning to run before you can walk).

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