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Data Scientist Interview Questions

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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.

54,277 data scientist interview questions shared by candidates

First face to face round went OK. The interviewer asked about a matrix with dynamic programming algorithm and psuedo code for it. Also asked about explaining basics of technologies mentioned in the resume. I think I did justice with explaining what I knew, and from his expressions, I could not understand whether he was satisfied or not interested to listen :). No cross questions, not asking for details, just kept writing the feedback on his computer after asking. Second face to face round had two questions. One was algorithm for a tree traversal problem and proper code for it along with corner cases. Second question was a low level design problem.
avatar

Computer Scientist

Interviewed at Adobe

4.1★
Jun 23, 2018

First face to face round went OK. The interviewer asked about a matrix with dynamic programming algorithm and psuedo code for it. Also asked about explaining basics of technologies mentioned in the resume. I think I did justice with explaining what I knew, and from his expressions, I could not understand whether he was satisfied or not interested to listen :). No cross questions, not asking for details, just kept writing the feedback on his computer after asking. Second face to face round had two questions. One was algorithm for a tree traversal problem and proper code for it along with corner cases. Second question was a low level design problem.

How much are you willing to pay to play the following game? You start with $1. You flip a fair coin. If it lands on heads, you double your winnings and flip again. If it lands on tails, the game is over and you collect the money you've won. You continue playing until you land on tails.
avatar

Data Scientist

Interviewed at Point72

4★
Apr 15, 2019

How much are you willing to pay to play the following game? You start with $1. You flip a fair coin. If it lands on heads, you double your winnings and flip again. If it lands on tails, the game is over and you collect the money you've won. You continue playing until you land on tails.

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