Die Fragen erfordern ein tieferes Verständnis und Erfahrung mit ML/DS auf Produktionsebene und sind recht unterhaltsam und unterhaltsam.
Sr Data Scientist Interview Questions
3,505 sr data scientist interview questions shared by candidates
1. Technical & Business Questions on the projects in the resume. 2. Technical Questions on ML - gradient descent, k-means clustering, time series analysis, k-fold cross validation, linear regression, svm, decision trees, random forest, gradient boosting etc. 3. Coding Questions on ML - code gradient descent algorithm, code k-means clustering algorithm.
mostly about the projects they're interested in and data-driven optimization methods
general questions about my previous job
Depends on the client and is NDA'd
Was bedeutet Consultancy im Bereich Data Science für Dich? Was sind Deine Gehaltsvorstellungen? Bist Du bereit zu reisen, und wenn ja im welchem Umfang?
Tell about yourself and projects worked!
Q. Degree of familiarity on AWS, SQL etc.
Bonus Question: Suppose you randomly selected a positive observation and a negative observation. What is the probability that your model will score the approved order higher than the chargeback?
Given a Vanilla Neural Network architecture and a linear regression model, what changes should I do to Neural Network so that we get the same outputs as Linear regression ?
Viewing 561 - 570 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