Asked about the projects I have worked on along with the underlying concepts.
Senior Scientist Interview Questions
5,800 senior scientist interview questions shared by candidates
Technical depth in deep learning and machine learning. Thorough understanding of my relevant work experience in machine learning and data science.
Q. Change the sigmoid function so that it is more narrow?
Problem-solving. In-depth questions from previous projects and skill set. A strong grasp of fundamentals is necessary. Why you used certain techniques and algorithms over others?
Tell me about yourself
They asked me to walk through one of my recent end-to-end data science projects and explain how I approached the problem, what techniques I used and the impact it created.
Example question: What type of data storage was used by the data pipeline of your last project X, and why?
shell command two write ngram Python recursive function to convert JSON file into dict R function to find Peaks
Second round questions are: what according to you is data science? -- Answer will be always subjective, Can't we do non-linearity model using logistic regression? Even if you transform variable and use it in model -- statisticians refer the transformed variable as feature and logit is linear to feature.
Asked about background and asked to describe completed projects
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