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

There are three things that you could do here:

  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.

If you have a question about the platform, please email us: contact@MockInterview.co

Data Science Interview Questions › Tag: Case Study
Filter:AllUnanswered
Case study: Walk me through how would you predict who will renew their subscription next month? What data would you need to solve this? What analysis would you do? Would you build predictive models? If so, which algorithms?
MockInterview answered 2 years ago • 
12170 views3 answers0 votes
Case study: How would you investigate a Drop in User Engagement?
MockInterview asked 6 years ago • 
10713 views2 answers0 votes
Suppose we changed a sign up process to include email token verification on Monday and 2 weeks later, someone notices that the conversion rate for email sign ups is now higher. How would you piece together what happened?
Paras asked 6 years ago • 
2421 views0 answers0 votes
If 70% of Facebook users on iOS use Instagram, but only 35% of Facebook users on Android use Instagram, how would you investigate the discrepancy? (asked in Facebook Interviews)
MockInterview asked 6 years ago • 
3310 views1 answers0 votes
Your organization currently uses a manual process to curate content for their newsfeed and it delivers better results than your machine learning model. But manually curated content isn’t a scalable, long-term strategy. How would you convince your company (i.e. show them) that integrating/blending your machine learning model into the product gradually is not only more strategic but also possible?
MockInterview asked 6 years ago • 
1094 views1 answers0 votes
What engagement metric does Pinterest / Facebook / WhatsApp / Instagram / Snapchat use?
MockInterview asked 6 years ago • 
1271 views1 answers0 votes
How does Uber's surge pricing algorithm work?
MockInterview asked 6 years ago • 
2279 views1 answers0 votes
As a data scientist, How would help a restaurant owner decide where he/she should spend their advertising budget? (Print, Internet, etc)
MockInterview asked 6 years ago • 
793 views1 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 6 years ago • 
825 views0 answers0 votes
How many high schools that people have listed on their profiles are real? How do we find out, and deploy at scale, a way of finding invalid schools? (Asked in Facebook Interviews)
MockInterview asked 6 years ago • 
1816 views1 answers0 votes
Facebook sees that likes are up 10% year over year, why could this be? (asked in facebook interviews)
MockInterview asked 6 years ago • 
1739 views1 answers0 votes
If a PM says that they want to double the number of ads in Newsfeed, how would you figure out if this is a good idea or not? (Asked in Facebook Interviews)
MockInterview asked 6 years ago • 
1244 views1 answers0 votes
Case Study: Consider a project management startup that lets users try its product, but charges for more than three concurrent projects. It offers four tiers: free, 10 projects, 100 projects, and unlimited. It runs ads on several platforms to attract users to its site, and each time a user invites someone else to join a project, that person becomes a user. What are some of the metrics that the company would care about?
MockInterview asked 6 years ago • 
1186 views1 answers0 votes
Case Study: You work as a Data Scientist (Analytics) for Salesforce and if you are assigned the task to create a Dashboard to measure Digital effectiveness for Chief Marketing Officer, which metrics will you pick and why?
MockInterview asked 6 years ago • 
963 views1 answers0 votes
Case study: You work as a data analyst for an eCommerce company and CEO wants to increase sales — what success metrics would you suggest? And how would determine what's a good target value?
MockInterview asked 6 years ago • 
4959 views1 answers0 votes
Case study: How to validate A/B test results?
MockInterview asked 6 years ago • 
14393 views1 answers0 votes
Case study: How would you decide if product team should work on a particular feature or not? In this case, it’s Search:
MockInterview asked 6 years ago • 
10245 views1 answers1 votes
Ask Question