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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.

54,330 data scientist interview questions shared by candidates

Tech Interview had 2 parts: 1.) 2 SQL questions very easy - based on a join of couple of tables and group by. 2.) Product sense: - What could go bad and good in 10% increase in clicks on Events via Facebook Search? - Having several backend external feeds like twitter, YouTube, etc., in Facebook search can cause what to go right and what to go wrong?
avatar

Data Scientist, Analytics

Interviewed at Meta

3.5★
Jul 13, 2021

Tech Interview had 2 parts: 1.) 2 SQL questions very easy - based on a join of couple of tables and group by. 2.) Product sense: - What could go bad and good in 10% increase in clicks on Events via Facebook Search? - Having several backend external feeds like twitter, YouTube, etc., in Facebook search can cause what to go right and what to go wrong?

In order to push existing users to refer their friends, we're running a special reward program, in which the user is given an instant $10 discount for posting a referral message as their Facebook status. The message looks something like this: "Check out this company Jerry.ai --they automatically checks if you’re paying the lowest price for insurance and they will also find the best quote for you. As a friend of mine, you can get $20 off your insurance purchase. Click here to get the $20 gift credit: jerry.ai " The user is given the option to post this message on his/her Facebook account during the purchase. Once they post this message, they instantly get the $10 discount on their purchase. In other words, we don't wait for any of their referred friends to actually signup with us before giving them the discount. We feel that doing this would make the users more likely to post the referral message. Assume that this reward program has been running for a couple of months, and we have some data collected in our database. We want to know if running this program has been a good idea or not, i.e., are we acquiring new customers with it, or are we just losing money by giving out $10 discounts. Assume that you have the following database tables: 'User' and Purchase' Table User id, name, referring_user_id Table Purchase id, user_id, date, total, discounts In the Purchase table, the 'total' field contains the dollar amount of the job. The 'discounts' field consists of the total discounts given for the appointment (including rewards, coupon redemptions, etc.). Therefore, the customer pays: 'total' - 'discounts' as their final bill. Given this data: 1) 'What' information would you derive from it, and 'how' will you derive it (you can give SQL queries, pseudo code, ... whatever you're comfortable with) 2) Using the information from Step 1), how would you make a recommendation on whether this rewards program should be continued or discontinued
avatar

Data Scientist

Interviewed at Jerry

4.1★
Apr 27, 2021

In order to push existing users to refer their friends, we're running a special reward program, in which the user is given an instant $10 discount for posting a referral message as their Facebook status. The message looks something like this: "Check out this company Jerry.ai --they automatically checks if you’re paying the lowest price for insurance and they will also find the best quote for you. As a friend of mine, you can get $20 off your insurance purchase. Click here to get the $20 gift credit: jerry.ai " The user is given the option to post this message on his/her Facebook account during the purchase. Once they post this message, they instantly get the $10 discount on their purchase. In other words, we don't wait for any of their referred friends to actually signup with us before giving them the discount. We feel that doing this would make the users more likely to post the referral message. Assume that this reward program has been running for a couple of months, and we have some data collected in our database. We want to know if running this program has been a good idea or not, i.e., are we acquiring new customers with it, or are we just losing money by giving out $10 discounts. Assume that you have the following database tables: 'User' and Purchase' Table User id, name, referring_user_id Table Purchase id, user_id, date, total, discounts In the Purchase table, the 'total' field contains the dollar amount of the job. The 'discounts' field consists of the total discounts given for the appointment (including rewards, coupon redemptions, etc.). Therefore, the customer pays: 'total' - 'discounts' as their final bill. Given this data: 1) 'What' information would you derive from it, and 'how' will you derive it (you can give SQL queries, pseudo code, ... whatever you're comfortable with) 2) Using the information from Step 1), how would you make a recommendation on whether this rewards program should be continued or discontinued

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