How many orders of Fries does McDonald's sell in a year?
Data Scientist Interviews
Data Scientist Interview Questions
In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
Top Data Scientist Interview Questions & How to Answer
Question 1
Question #1: Which data modeling techniques do you prefer and why?
How to answer
How to answer: Turning data into understandable and actionable information is a critical part of the data scientist's job. This question allows employers to understand your data modeling skills and background. List and discuss your preferred data modeling techniques, including benefits such as ease of use, flexibility, etc.
Question 2
Question #2: How would you detect bogus Instagram accounts used for scamming consumers?
How to answer
How to answer: Questions like this one allow an employer to test your problem-solving skills. When answering open-ended questions such as these, feel free to ask clarifying questions and use whiteboards to demonstrate your coding and diagramming skills. Share your thought process as you work through the problem.
Question 3
Question #3: Describe circumstances that require a list, tuple, or set in Python.
How to answer
How to answer: Interviewers will use questions such as this one to test your Python programming skills. Review Python basics such as lists, tuples, and sets before your interview. You should be able to explain when and how each tool is used by data scientists.
54,324 data scientist interview questions shared by candidates
You have 24 hours, how would you measure what % of FB stories are fake news? How would you refine your process if you have more time?
How will you analyze if launching stories is a good idea? What data would you look at?
Write a piece of code that finds anagrams.
Product questions heavily focused on FB products. How would you measure success of a new product? SQL assignment was to write a query which computes conversion rates for 2 products given the log of users actions with type of action for each product type.
Suppose the Recommended Friends team has updated the algorithm to analyze if the new algorithm is better than the old algorithm.
there is algorithm that rates the posts according to the possibility to be spam. how would you check if the algorithm works?
Do you have any experience about machine learning other than your research field? What is the probability of blah-blah...? Write a code to switch a k-th element with (N-k)-th element in a linked list of length N.
2 hackerrank questions and 1 data exercise.
A case study related to company's product. Some statistics knowledge embedded.
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