They focus a lot on their leadership principles and your resume
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."
54,212 scientist interview questions shared by candidates
1- Machine Learning concepts 2- Data Structure Case Study (Very easy) 3- Coding (Easy but they need hands-on exp) And Finally, Leadership (14 principles)
Q: Given a function with inputs --an array with N randomly sorted numbers, and an int K, return output in an array with the K largest numbers. Q: 1. How does GMM/HMM work 2. Name some dimensional reduction method; I said PCA and we talked a bit about how PCA works and what's the physical intuiation 3. How K-means work, what kind of distance metric would you choose, what if different features have different dynamic range 4. How GMM works (EM algorithm)
How to build a summary table out of a written-in-a-notepad-document table of cricket wins and losses by country. How to check the validity of an IP address string given some list of constraints.
Why did you use Random Forests instead of Clustering?
How do you find out trending queries/topics? How do you test a website feature i.e. given a set of webpages and few changes, how will you find out that the change works positively?
En quel animal vous réincarneriez-vous ?
You have a database of customer transactions and for some users you don’t have much data (1-2 transactions), and you want them to use Revolut’s services more. How would you analyse the data to do so, with such limited data on some users.
Nothing was unexpected
- A Bays textbook example (fair and unfair coins) - Some python simple algorithm codes and calculating the complexity of the method - Some ML questions about different methods and how the learning happens and objective functions ....
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