Lors d’un entretien pour le poste de data scientist, les employeurs vont poser des questions leur permettant d’évaluer vos compétences en modélisation des données, résolution des problèmes et programmation. Soyez préparé à répondre à des questions générales testant vos connaissances en statistiques et en science des données. Vous devez également être prêt à répondre à des questions ouvertes permettant de tester votre créativité, vos compétences en communication et votre éducation formelle en modélisation des données et en programmation.
We have a table called ad_accounts(account_id, date, status). Status can be active/closed/fraud. A) what percent of active accounts are fraud? B) How many accounts became fraud today for the first time? C) What would be the financial impact of letting fraud accounts become active (how would you approach this question)?
Common statistical and python related questions. 1) How do you proof that males are on average taller than females by knowing just gender or height. 2) What is a monkey patch 3) How do you get the count of each letter in a sentence
Coding test: moving average Input 10, 20, 30, 10, ... Output: 10, 15, 20, 17.5, ...
Are you a big-picture person or a detail person?
What has the larger expected value, sampling a number between 1 and n from a uniform distribution and multiplying it by itself, or sampling two numbers and multiplying them.
A table has a column with full names(e.g. 'Tom Hardin'). write a python code to get distinct first names(i know its super easy in sql)
is technical test score necessary to crack all rounds of interview
What's your strengths for this position
If revenue is down 1% and time spent is up 2%, what do you infer/ decide?
We at Facebook would like to develop a way to estimate the month and day of people's birthdays, regardless of whether people give us that information directly. What methods would you propose, and data would you use, to help with that task?
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