In a research scientist interview, you'll be expected to show that you have the necessary technical knowledge and expertise pertaining to the specific position you're applying for. Some of the common topics include basic statistical methods, machine learning concepts, and case study analysis. Also, the interviewer will most likely assess your communication and interpersonal skills, which are essential for effective teamwork and funding acquisition.
-Round 1: HM technical Review on what I have done so far. -Round 2: Coding : subarrays with length k from an array (easy leet code) ML Design questions: How to detect anomalies from some data? - Onsite Round 1: technical screen with 4 members of the team. Coding: find bboxes given an image (easy) Several ML design questions (some of them mutual between interviewers) with the same theme of detecting anomalies, flare, etc. Deep dive into my experience (every bit of it)
Prime number based on some constraints and some ML situations.
What about Corteva makes you want to work here?
What are your salary expectations? How do you approach changes in your life? Do you have a family member who should move with you to the location? The last one surprised me!
Your previous research experience, details of each program
Why do you want to work at OGT
Where would you like to be in 5 years time.
What have I done during my phd?
What do you know about vacuum deposition?
Technical problem solving
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