How can you improve DAU of facebook?
Data Science Interview Questions
10,897 data science interview questions shared by candidates
Number of questions covering data processing (using either SQL or pandas), programming (lists and dictionaries), and machine learning. The questions were not especially hard, but I imagine the cutoff were how fast you could solve them.
Star based behavior questions and follow ups on that
Questions were based on hypothetical scenarios revolving around Meta's products. Product sense questions were linked to the technical questions.
Heavy on stats questions in the first round (I progressed to the second round so passed however would have appreciated a heads up on what I needed to brush up on) Generally technical questions are provided following the intro meet and greet initial stages. Meta jumped straight into some hard hitting stats and ML theoretical angles. Second interview didn't have much of a technical component to it
asked questions about career plan,
How do you facilitate adult learning?
offside what do you know about Micron what do you know about ddrm ohm law question (solve by V=IR) opamp question gain buffer some coding question leecode array question sql theory question different between delete and truncate different between tree and graph normal destruction question onside normal destruction question ohm law question machine learning question what is random forest etc.
How does the ML algorithms help in the current livlihood
How do you deal with the imbalanced data set?
Viewing 8431 - 8440 interview questions
See Interview Questions for Similar Jobs
Data ScientistData EngineerDirector DataInformation DesignerPredictive ModelerData AnalystData Visualization DeveloperMarketing Analytics ManagerData Visualization Software EngineerHead Of AnalyticsDirector Of AnalyticsManager Marketing AnalyticsData Visualization SpecialistManager AnalyticsData InternshipMachine Learning EngineerBig Data ConsultantData Visualization Consultant