If you give N riders with the probability of P a $5 coupon, what is the expected coupon spend
Data Scientist Interview Questions
Data Scientist Interview Questions
In un colloquio per Data scientist, ti verranno poste domande volte a verificare le tue capacità di data modeling, risoluzione di problemi e programmazione. Preparati a rispondere a domande di carattere generale che valutano la tua conoscenza della statistica e della scienza dei dati. Dovresti inoltre prepararti a rispondere a domande aperte mirate a testare la tua creatività, le tue doti comunicative e la tua formazione nella programmazione e modellazione dei dati.
Domande tipiche dei colloqui per Data scientist e come rispondere
Question 1
Domanda 1: Quali tecniche di data modeling preferisci e perché?
How to answer
Come rispondere: Trasformare i dati in informazioni comprensibili e fruibili è un aspetto fondamentale del lavoro di Data scientist. Con questa domanda i datori di lavoro vogliono capire il tuo backgruond e valutare le tue capacità di data modeling. Elenca e illustra le tecniche di data modeling che preferisci, includendo vantaggi come semplicità d'uso, flessibilità, ecc.
Question 2
Domanda 2: Come rilevi gli account Instagram fasulli utilizzati per raggirare i consumatori?
How to answer
Come rispondere: Domande come questa permettono ai selezionatori di testare le tue capacità di risolvere i problemi. Quando rispondi a domande aperte di questo tipo, non esitare a chiedere chiarimenti o a usare lavagne per dimostrare le tue abilità nel tracciare diagrammi e usare codici. Condividi il tuo processo di pensiero mentre elabori il problema.
Question 3
Domanda 3: Descrivi quali circostanze richiedono una lista, una tupla o un set in Python.
How to answer
Come rispondere: I selezionatori ti porranno domande come questa per testare le tue abilità di programmazione in Python. Ripassa gli elementi fondamentali di Python, come liste, tuple e set prima del colloquio. Dovrai essere in grado di spiegare quando e come ogni strumento deve essere usato da un Data scientist.
54,189 data scientist interview questions shared by candidates
What was the angle between the clock hands at 3:15.
You have a google app and you make a change. How do you test if a metric has increased or not?
How would you measure the health of Mentions, Facebook's app for celebrities? How can FB determine if it's worth it to keep using it? If a celebrity starts to use Mentions and begins interacting with their fans more, what part of the increase can be attributed to a celebrity using Mentions, and what part is just a celebrity wanting to get more involved in fan engagement?
How to write a function to make a biased coin from a fair coin and vice versa
Case Interview: the case is the car finance loan. - what are revenues and expenses - given a model that predicts when a customer is good (loan should be approved) or bad (loadn should be decline) find out: 1. the probability that the customer is good given the model predicts good 2. the probability that the customer is bad given the model is good 3. given a pentile graph of # of checked off loans / # of loans what is a better model than the current; what is the best model. Behavioral interview: - tell me about a time that you had to deal with changing objectives in your team/project - tell me about a time that you had to deal with unexpected problems in your project - tell me about a time that you had to persuase somebody Role interview: the case is a report on air company with low percentage of flight on time. Read the report an give an evaluation of it and some reccomendations to your boss. 15 minutes to read the report and remove anything unecessary or spot errors. 20 minutes to present it to your boss. 15 minutes to discuss afterwards from data scientist to data scientist.
A set of values given: Assume table in SQL or list of dictionaries if using Python. Basically a row of data contained information: if it is post or it is a comment, row id and some other data. Find distribution of comments. #comments # posts 1 5000 2 6787 .. ..
How would you test if survey responses were filled at random by certain individuals, as opposed to truthful selections?
There are 6 marbles in a bag - 1 is white. You reach in the bag 100 times. After drawing a marble, it is placed back in the bag. What is the probability of drawing the white marble at least once?
Can you explain how this algorithm works? Estimate the cross-sell potential for this client. Take me through one of your projects.
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