1. data structure-based questions. 2. string and complexity-based questions 3. detail about SVM
Sr Data Scientist Interview Questions
3,395 sr data scientist interview questions shared by candidates
Implement k-means clustering, with inputs an N*D matrix and outputs k N_i*D matrices.
What is the difference between bagging and boosting?
He seemed like someone who just went through some cool ML/DS terms. Asked about how to fit a logistic regression, PCA, p-value, A/B testing, gradient descent, bias-variance tradeoff etc. In scripting question, he merely asked how to find mode of a list without using any in-built maths function or library.
Tell me about a time when you had to deal with a setback in a project and how you overcame it.
Pitch a project of your choice in 15 mins followed by 5 key questions on it
The end to end pipeline of the project I was working on in the previous company
Model development lifecycle what is model validation what is grid search
Asked about data science projects that I worked on in my previous roles.
- Different between assert and try catch - a bunch of questions about Gradient Descent - difference between decision tree and random forest and Gradient Descent - python decorators - difference between union and union all - a/b testing - what is pca - broadcast join
Viewing 2041 - 2050 interview questions
See Interview Questions for Similar Jobs
Jr Data ScientistData Scientist TraineeData Science EngineerSenior Machine Learning ScientistApplied Research ScientistSenior Data ScientistMachine Learning Research EngineerData Scientist NlpMachine Learning Research ScientistSenior Machine Learning EngineerData SciencesMachine Learning ScientistSoftware Engineer Machine Learning ScientistNlp Data ScientistResearch Scientist Computer VisionApplied ScientistSr. Data ScientistSenior Quantitative Researcher