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Data Scientist Interview Questions

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Data Scientist Interview Questions

In een sollicitatiegesprek voor de functie data scientist (M/V/X) kunt u verwachten dat de werkgever vragen stelt die uw vaardigheden voor gegevensmodellering, probleemoplossing en programmeren onderzoeken. Wees voorbereid op algemene vragen die uw kennis van statistiek en data science. Stel u ook in op open vragen die uw creativiteit, sociale vaardigheden en formele opleiding in gegevensmodellering en programmeren testen.

Meest gestelde sollicitatievragen voor een data scientist (M/V/X) en hoe te antwoorden

Question 1

Vraag 1: Welke gegevensmodelleertechnieken hebben uw voorkeur en waarom?

How to answer
Zo antwoordt u: Gegevens vertalen naar begrijpelijke en bruikbare informatie, is een essentieel onderdeel van de rol van een data scientist. Met deze vraag kunnen werkgevers uw gegevensmodelleringsvaardigheden en achtergrond doorgronden. Noem de voor u preferente gegevensmodelleringstechnieken en bespreek deze, bijvoorbeeld voordelen als gebruiksgemak, flexibiliteit, etc.
Question 2

Vraag 2: Hoe zou u nepaccounts op Instagram detecteren die gebruikt worden om consumenten op te lichten?

How to answer
Zo antwoordt u: Met zulke vragen kan een werkgever uw probleemoplossend vermogen testen. Bij het beantwoorden van open vragen als deze, is het prima om zelf naar verduidelijking te vragen en een whiteboard te gebruiken om te laten zien dat u kunt programmeren en dat u diagrammen kunt maken. Deel uw gedachtegang terwijl u de stappen van het probleem behandelt.
Question 3

Vraag 3: Beschrijf omstandigheden die een lijst, tupel of set in Python vereisen.

How to answer
Zo antwoordt u: Vraagstellers gebruiken dergelijke vragen om uw kennis van de programmeertaal Python te testen. Ga voor het sollicitatiegesprek de grondbeginselen van Python, zoals lijsten, tupels en sets. U zou moeten kunnen uitleggen wanneer en hoe elke tool door data scientists wordt gebruikt.

54,345 data scientist interview questions shared by candidates

We have two types of reviewers: careful reviewer (80% of reviewers) and lazy reviewers (20% of reviewers). Careful reviewers rate a post positive 60% of time and negative 40% of time). Lazy reviewers however rate a post positive 100% of time. A) what is the probability that a random ad is reviewed positively? B) If an ad gets a negative review, what is the probability that it's reviewed by a lazy reviewer? C) If 3 ads are reviewed positively in a row, what is the probability that they are reviewed by a lazy reviewer? D) Some as above with n positively reviewed ads in a row. What happens when n goes to infinity? E) If we have very few labeled data, how can we build a model to distinguish between careful and lazy reviewers?
avatar

Data Scientist, Analytics

Interviewed at Meta

3.5★
Mar 6, 2019

We have two types of reviewers: careful reviewer (80% of reviewers) and lazy reviewers (20% of reviewers). Careful reviewers rate a post positive 60% of time and negative 40% of time). Lazy reviewers however rate a post positive 100% of time. A) what is the probability that a random ad is reviewed positively? B) If an ad gets a negative review, what is the probability that it's reviewed by a lazy reviewer? C) If 3 ads are reviewed positively in a row, what is the probability that they are reviewed by a lazy reviewer? D) Some as above with n positively reviewed ads in a row. What happens when n goes to infinity? E) If we have very few labeled data, how can we build a model to distinguish between careful and lazy reviewers?

PLEASE DON'T TAKE THE PHONE SCREENING LIGHTLY! I did and got rejected. I was expecting SQL questions and in general talk about my resume but she asked me a question on product sense and I was completely unprepared for it. Creation of Facebook user groups has gone down by 20%, what will you do? sounds simple but I messed it up so badly. I was just blabbering anything in an unstructured way, I sounded so stupid and not even fit for a small company forget Facebook. The recruiter was nice and she did not say anything but I were to hear my own answer, I would reject myself on spot. I regret it so much wish I could have prepared for it. I hope someone sees this and it helps them. The SQL questions were easy and I did answer them correctly- what kind of joins to get only common rows, what the natural sorting order etc.
avatar

Data Scientist

Interviewed at Meta

3.5★
Mar 9, 2020

PLEASE DON'T TAKE THE PHONE SCREENING LIGHTLY! I did and got rejected. I was expecting SQL questions and in general talk about my resume but she asked me a question on product sense and I was completely unprepared for it. Creation of Facebook user groups has gone down by 20%, what will you do? sounds simple but I messed it up so badly. I was just blabbering anything in an unstructured way, I sounded so stupid and not even fit for a small company forget Facebook. The recruiter was nice and she did not say anything but I were to hear my own answer, I would reject myself on spot. I regret it so much wish I could have prepared for it. I hope someone sees this and it helps them. The SQL questions were easy and I did answer them correctly- what kind of joins to get only common rows, what the natural sorting order etc.

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