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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.

54,189 data scientist interview questions shared by candidates

1. Given an empty BST consist of n nodes and and an array consist of n numbers. The n nodes in a BST have been already arranged in some fashion(i.e. the BST is not empty), and none of the nodes in BST are having any data, that means we have to pick the n numbers from the given array and have to fill in the given BST. We have to make sure that the structure of the BST doesn't change. That means all the left subtree and right subtree at any given node should not change at all. 2. We have a function which returns a value among {1, 0, -1}. When the function returns -1 that means we have to terminate. we have to keep on calling this function and till we get -1. this means we will get series of 1's and 0's which we have to treat like bit pattern and has to check whether the given number is divisible by 3 or not. for e.g. the function call returns the below output. 101-1=> 101 => it's a 5 which is not divisible by 3.
avatar

Computer Scientist

Interviewed at Adobe

4.1★
Sep 11, 2016

1. Given an empty BST consist of n nodes and and an array consist of n numbers. The n nodes in a BST have been already arranged in some fashion(i.e. the BST is not empty), and none of the nodes in BST are having any data, that means we have to pick the n numbers from the given array and have to fill in the given BST. We have to make sure that the structure of the BST doesn't change. That means all the left subtree and right subtree at any given node should not change at all. 2. We have a function which returns a value among {1, 0, -1}. When the function returns -1 that means we have to terminate. we have to keep on calling this function and till we get -1. this means we will get series of 1's and 0's which we have to treat like bit pattern and has to check whether the given number is divisible by 3 or not. for e.g. the function call returns the below output. 101-1=> 101 => it's a 5 which is not divisible by 3.

R4: Assume the distribution of children per family is given by: # children 0 | 1 | 2 | 3 | 4 | >=5 p 0.3 | 0.25 | 0.2 | 0.15 | 0.1 | 0 Consider a random girl in the population of children. What's the probability that she has a sister?
avatar

Data Scientist

Interviewed at Google

4.4★
Sep 2, 2021

R4: Assume the distribution of children per family is given by: # children 0 | 1 | 2 | 3 | 4 | >=5 p 0.3 | 0.25 | 0.2 | 0.15 | 0.1 | 0 Consider a random girl in the population of children. What's the probability that she has a sister?

SQL: there is a table of time,post id, action and content. the action can be reported and the content is spam. another table of time,post id, user - of all posts were removed manually the question: What percent of yesterday's content views were on content that has been reported for spam and removed yesterday?
avatar

Data Scientist

Interviewed at Meta

3.6★
Jun 2, 2020

SQL: there is a table of time,post id, action and content. the action can be reported and the content is spam. another table of time,post id, user - of all posts were removed manually the question: What percent of yesterday's content views were on content that has been reported for spam and removed yesterday?

• What are the typical Greek symbols used in Q-Learning? • What does Alpha typically represent? • What does Gamma typically represent? • What does Epsilon typically represent? • What is Greedy-Epsilon? • How does a High Alpha versus a Low Alpha impact the model? • What is the Exploration-Exploitation Tradeoff? • What is a Decay Structure? • What is important about a Decay Structure? • How could we apply reinforcement learning to Alexa/Echo which would add functionality? • How would you implement this? • What kind of reward structure would you use? • Why would you use that reward structure? • Tell me about a time when you were not able to complete all parts of a task? • Tell me about a time you not only met expectations but exceeded them?
avatar

Applied Scientist Internship

Interviewed at Amazon

3.5★
Mar 17, 2021

• What are the typical Greek symbols used in Q-Learning? • What does Alpha typically represent? • What does Gamma typically represent? • What does Epsilon typically represent? • What is Greedy-Epsilon? • How does a High Alpha versus a Low Alpha impact the model? • What is the Exploration-Exploitation Tradeoff? • What is a Decay Structure? • What is important about a Decay Structure? • How could we apply reinforcement learning to Alexa/Echo which would add functionality? • How would you implement this? • What kind of reward structure would you use? • Why would you use that reward structure? • Tell me about a time when you were not able to complete all parts of a task? • Tell me about a time you not only met expectations but exceeded them?

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