Data Science Interview Questions

Welcome to MockInterview.co‘s Data Science Interview Questions library! (300+ questions & growing)

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  1. Prepare: You can browse through these questions set to prepare for your data science interviews.
  2. Ask questions: You are also invited to ask interview questions using the “Ask Question” button which you can find at the bottom of the question list.
  3. Post Answers: you can post your answers to get feedback from the community.

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[Amazon interview] what is the difference between random forest vs cart tree; XGBoost vs RF?
MockInterview asked 1 year ago • 
430 views0 answers0 votes
[Amazon interview] What is a p-value? What are its shortcomings?
MockInterview asked 1 year ago • 
428 views0 answers0 votes
[Amazon Interview] What are the first 3 things you do when given a (clean) dataset and why?
MockInterview asked 1 year ago • 
437 views0 answers0 votes
[Amazon Interview] What are your strengths and weaknesses as a data scientist?
MockInterview asked 1 year ago • 
362 views0 answers0 votes
value-for-money
ken asked 2 years ago • 
511 views0 answers1 votes
Reverse engineer 'Home pricing' algorithm. (Think Zillow's Zestimate or Redfin's home estimate tools)
MockInterview asked 2 years ago • 
602 views0 answers0 votes
What's a probability distribution? Explain any 3 probability distribution?
Paras Doshi asked 2 years ago • 
605 views0 answers0 votes
What is effect size? Explain where you have applied this statistical concept to solve a business problem.
Paras Doshi asked 2 years ago • 
600 views0 answers0 votes
What is the difference between running an A/B test through Frequentist methods vs Bayesian methods?
MockInterview asked 3 years ago • 
491 views0 answers0 votes
When would you use random Forest vs logistic regression for binary classification problem?
Paras Doshi asked 3 years ago • 
492 views0 answers0 votes
What is your greatest professional accomplishment?
MockInterview asked 4 years ago • 
559 views0 answers0 votes
How would you design a software library to create production-level machine learning models efficiently?
MockInterview asked 4 years ago • 
574 views0 answers0 votes
If you are a Product Analyst on Self Driving Car Startup; What metrics would you track to analyze the success of this program? (asked in Google interviews)
MockInterview asked 4 years ago • 
635 views0 answers0 votes
How would use Analytics & Data Science to help Product Managers Identify what to build next?
Paras asked 4 years ago • 
485 views0 answers0 votes
An executive approaches you and explains they have this really interesting dataset that they believe can unlock amazing value and they need you to see what can be done with it. What do you do?
MockInterview asked 4 years ago • 
436 views0 answers0 votes
How can you prove that one improvement you’ve brought to an algorithm is really an improvement over not doing anything? Are you familiar with A/B testing?
MockInterview asked 4 years ago • 
489 views0 answers0 votes
Which of the following are you strongest in / most passionate about: exploratory data analysis, building data models & algorithms, running research experiments?
MockInterview asked 5 years ago • 
722 views0 answers0 votes
Given a Histogram (Number of purchases per user): There are a lot of users that make a small number of purchases, and few users that make a large number of purchases. So the histogram is peaked near zero and has a tail off to the left. Based on this, what do you expect the plot of average revenue per user to look like?
MockInterview asked 5 years ago • 
530 views0 answers0 votes
Tell me two success stories about your analytic or computer science projects? How was lift (or success) measured?
MockInterview asked 5 years ago • 
413 views0 answers0 votes
Tell me 3 things positive and 3 things negative about your favorite statistical software.
MockInterview asked 5 years ago • 
425 views0 answers0 votes
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