Your exp with Data Science / ML.
Senior Scientist Interview Questions
5,826 senior scientist interview questions shared by candidates
Boosting and bagging, projects done in the last
Live coding of an ML algorithm, discussion on designing an ML system, deep dive into relevant past projects for the technical part. Then cultural ad and ways of working interviews.
SQL related questions Infrastructure Design questions Product design questions Take-home test discussion
Give an example about a time in which you had to manage some risk.
The coding question covered implementing an ML algorithm in NumPy, and the system design round is focused on a real world problem related to the team's work. Due to the fact that they are concerned about the culture, I discovered that behavioral interviews are also important to them.
What are you looking for in your next role
1. "Explain the tradeoff between bias and variance." 2. "Explain what regularization methods are." 3. "Explain how to build a decision tree." 4. "Explain the difference between bagging models and boosting models." 5. "Explain the difference between GRU and LSTM models." 6. "Explain the difference between a CNN and RNN model." 7. "Explain how transforms work." 8. "Explain how BERT works."
Database, machine learning modeling, oop
Statistics Related Questions.
Viewing 5431 - 5440 interview questions
See Interview Questions for Similar Jobs
Phd EngineerPrincipal ScientistSenior Research EngineerResearch AssociateQc ScientistFormulation ScientistLab ManagerAssay Development ScientistScientific DirectorResearch ScientistAssociate ScientistSenior ChemistMedical Science LiaisonStudy DirectorResearch FellowPostdoctoral FellowPhd ScientistStaff ScientistApplications Scientist