Data Science Interview Questions
Questions Answers Views Company eMail

In a given day, how many birthday posts occur on Facebook?

Facebook,

118

Write the code to reverse a Linked list.

WalMart,

179

How will you overcome overfitting in predictive models?

121

Implement a sorting algorithm for a numerical dataset in Python.

Facebook,

142

Will Uber cause city congestion?

Uber,

204

How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?

Uber,

130

What is the good measure of influence of a Twitter user?

Twitter,

106

A building has 100 floors. Given 2 identical eggs, how can you use them to find the threshold floor? The egg will break from any particular floor above floor N, including floor N itself.

Facebook,

209

What assumptions does linear regression machine learning algorithm make?

WalMart,

125

You have 2 dices. What is the probability of getting at least one 4? Also find out the probability of getting at least one 4 if you have n dices.

Facebook,

269

How will you design a recommendation engine for jobs?

LinkedIn,

148

How will you test a machine learning model for accuracy?

105

If we added one rider to the current SF market, how would that affect the existing riders and drivers?

Uber,

159

What would you add to Facebook and how would you pitch it and measure its success?

Facebook,

166

How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?

Facebook,

281


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Un-Answered Questions { Data Science }

Where is association analysis used?

117


What is chi square test?

108


Check whether a given integer is a palindrome or not without converting it to a string.

151


Explain Examples of Data Science?

103


Write a program to segment a long string into a group of valid words using Dictionary. The result should return false if the string cannot be segmented. Also explain about the complexity of the devised solution.

205






How will you test a machine learning model for accuracy?

105


What tools or devices help you succeed in your role as a data scientist?

133


What is the difference between a cluster and systematic sampling?

115


A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

250


Advantages of tableau prep?

107


How can the outlier values be treated?

97


Explain eigenvalue and eigenvector

100


Can you define a/b testing?

82


How will you check if an element 25 is present in a vector?

148


what is prior probability and likelihood?

89