In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
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).
At WRc there is a requirement to work on several projects at once, how would you effectively work to deliver high quality work to schedule?
When are you available for an interview?
Are you still interested in the position.
What are your thoughts on function pointers?
Do you want biscuit or cake
What do you know about the systems used by FD?
Explain the number of job moves you have made
One question they asked was my ability to solve specific technical problems.
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