ML/DL concepts, batch normalization, how does it work? Supervised/unsupervised learning, regularization, talked through a case study, how to solve such a case, what are the challenges, available tools and methods to solve the problem.
Scientist Interviews
Scientist Interview Questions
"The questions you are asked in an interview for a position as a scientist will depend greatly on field of science you intend to work in. Generally, interviewers will be interested in your formal education, field of study and specialization, work, internship, and research experience, scientific writing skills, and interest in the subject matter. Expect to be asked technical questions that pertain to the knowledge needed to perform the duties of the job. While there are some positions open to scientists who possess associates' or bachelors' degrees, most jobs will require you to have at least a masters' degree with the majority requiring you to have a doctorate."
54,373 scientist interview questions shared by candidates
Phone interview: research + one coding question Onsite: Two rounds of research interviews and two rounds of coding. Asked typical coding questions, similar to LeetCode. No brain teaser.
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What are magic methods in Python and what are they used for?
What are the common built-in data structures in Python and what is the syntax for each?
Qual o próximo número da sequência 9, 14, 24, 39, 59?
Basic SQL, Probability and Testing questions.
What was one instance where you went above and beyond?
Describe how you leverage ai tools
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