About: Logistic regression - optimization, probability.. A/B testing, hypothesis
Sr Data Scientist Interview Questions
3,380 sr data scientist interview questions shared by candidates
Online coding rounds do a proper screening on Statistics (and Probability), ML and Python. Interview rounds involved diving deep into a machine learning project that I worked on. Metrics - Why choose one over another? Why was a certain preprocessing technique used etc.
Data Science Case Study
1. Presented simple regression models and asked about regularization 2. Translate mathematical equations to code using python 3. Interpretation of statistical results
Narra el proceso que sigues para hacer el deploy de un algoritmo de ML in GCP
Asked about every technology on my resume that related to the job.
Describe the responsibilities etc. of your last role as if you were onboarding a new person.
Funciones que vengo desempeñando, tecnologías que manejo, todo bastante standard.
What ideas do you have surrounding business growth and development for our organization?
1st user interview: what you would do when given noisy data (what preprocessing steps you would carry out), variance, covariance, correlation, recall, precision, F1-score, examples of when you need precision over recall and vice versa, what do you know about A/B test (what steps you should do), and some study cases. 2nd user interview: mainly at a higher level than in the previous interview. He also asked me if I had an experience where I wrote a custom loss function (could be from a paper) of a deep learning model.
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