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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."
54,324 scientist interview questions shared by candidates
Motivation, Statistik, Maschinelles Lernen, Fallstudie
The interviewer asked about random forest and how it works. When I said that each decision tree in the forest considers a random subset of features, he disrespectfully interrupted me and told me that I am wrong. Then he scolded me for giving the "wrong" answer.
How to reduce number of variables in Logistic regression and random forest?
They asked a lot of questions about my take-home project; in particular wanted to know about the reasons that I took the approach that I did. I could tell they were coming more from a statistical and economics background for the most part; while I'm more of an engineering and machine-learning hacker type standpoint. They also had a lot of "ambiguous" questions; by that, I mean questions about ambiguous business situations I might encounter in this position. Wanted to know how well I would do with ambiguous questions I might get from business leaders.
Tell me more about your previous experience? Did you work as data scientist? How many years of work experience you have ? About masters degree? where are you graduating from? do you need H1B in future
If you're trying to predict the gender of your customers and you only have 100 data points, what are possible problems?
Q: Tell us your greatest achievements
what are some of your strengths and weaknesses
What is the difference between bagging and boosting algorithms
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