Me mostraron varios gráficos y dashboards con datos de negocio y me pidieron interpretar tendencias, detectar anomalías y explicar qué conclusiones tomaría a partir de los datos. También preguntaron cómo comunicaría esos resultados a clientes no técnicos.
How would you approach a situation where you felt a coworker was doing an assay incorrectly?
silly questions from an interviewer on solved problem
How do you check the quality of your libraries?
How would you solve a problem for a client who wants to compete with the best cab company? Twitter analytics question involving NLP? Bayesian solving? Favourite ML algorithm with deriving the maths on the whiteboard.
I was asked to lead a conference call with an external academic expert, to design a 'gamified' approach to the Walmart smartphone app, to structure and moderate a brainstorming session with several teams, to design a number of prototyping/testing programs, and asked many many questions. Remember, this all took place over one 9.5 hour session and another 5-day session!
Pay would be $30/hour; is that in your range?
Blue Metrics,, Bias Var tradeoff
They ll ask you all the queastion related to python with data science.Deep dive in python multithreading,socket programming even it’s not required for data science
How would you deal with very imbalanced data?
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