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"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."

54,405 scientist interview questions shared by candidates

When analyzing sensory data, one option is to weight each panelist's data equally; another - to give zero weights to all responses deviating from the modal response. Between these two extremes, where does your approach to data analysis fall and why?
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Senior Sensory Scientist

Interviewed at Osmo

5★
Apr 13, 2024

When analyzing sensory data, one option is to weight each panelist's data equally; another - to give zero weights to all responses deviating from the modal response. Between these two extremes, where does your approach to data analysis fall and why?

Qs 1 How in a Chat bot you can differentiate "How are you?" from "Hw r u?" through machine learning. Ans : you can use a voice for filtration because both is pronounced similarly. He was very impressed with the idea and the glow in his eyes showed that he wanted to claim it to be his own Qs2 Gradient dissent and python Ans Explained correctly Qs3 Tumor classification problem Ans : explained using logistic, svr, decision tree via interaction term, feature selection etc. The person i am quite sure was planning to take my ideas to claim his own in the organisation. They had no interest in selecting anyone
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Data Scientist/Analyst

Interviewed at Movate

3.7★
Apr 8, 2017

Qs 1 How in a Chat bot you can differentiate "How are you?" from "Hw r u?" through machine learning. Ans : you can use a voice for filtration because both is pronounced similarly. He was very impressed with the idea and the glow in his eyes showed that he wanted to claim it to be his own Qs2 Gradient dissent and python Ans Explained correctly Qs3 Tumor classification problem Ans : explained using logistic, svr, decision tree via interaction term, feature selection etc. The person i am quite sure was planning to take my ideas to claim his own in the organisation. They had no interest in selecting anyone

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