Candidatei-me de outra forma. O processo levou 5 dias. Fui entrevistado pela Walmart (El Paso, TX) em jan. de 2016
Entrevista
I applied to a Data Science position through a Kaggle.com competition in which I placed well. The first interview consisted of a screening process conducted by a non-technical person. He asked how you would rate yourself (1-5) in Mathematics, Statistics, Machine Learning, Data Visualization and other very general non-technical questions.
A second interview consisted of three persons with technical background and they asked questions related to Machine Learning, Regressions and mostly regression troubleshooting techniques
Perguntas de entrevista [1]
Pergunta 1
What are the assumptions of a Linear Regression?
What is multi-collinearity, how do you fix it in a regression?
Explain the difference between bagged and boosting models
Fiz uma entrevista na empresa Walmart (Toronto, ON).
Entrevista
It was not that bad, 3 initial rounds overall okay, it would have been nice if they added some more depth in questions and asked good questions.
and it would have been great if they call or tell something before interview.
A former colleague referred me to the data scientist position, and I was excited to dive in. The interview process was intense, starting with a phone screen that led to a technical round focused on SQL and experiment design. I was asked to write a complex SQL query and design an experiment for a forecasting model. Lucky timing — I had reviewed similar questions on prachub.com during my prep, which really helped boost my confidence. After a final behavioral round, I received an offer and happily accepted.
Perguntas de entrevista [2]
Pergunta 1
Write a SQL query using window functions to find, for each product category, the item with the highest month-over-month sales growth
terrible Data Scientist role interview process, took 3 months and got rejected after final interview where the interviewer didn't have my resume and asked something else which the recruiter did not mention to prepare
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