Scribd Interview Questions

Scribd Interview Guides

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Data Structures & Algorithms
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SQL
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Machine Learning
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Probability
(32)
Statistics
(23)

Scribd Interview Questions

Practice for the Scribd interview with these recently asked interview questions.

QuestionTopicDifficulty
Product Sense & Metrics
Easy

Let’s say that you’re the PM on Google Maps.

  1. How would you improve Google Maps?

  2. What metrics would you check to see if your feature improvements are successful?

Product Sense & Metrics
Medium
SQL
Easy
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Scribd Salaries by Position

$200K
$289K
ML Engineer
Median: $226K
Mean (Average): $237K
Data points: 4
$126K
$210K
Software Engineer
Median: $170K
Mean (Average): $171K
Data points: 7
Data Scientist*
$164K
$176K
Data Scientist
Median: $170K
Mean (Average): $170K
Data points: 2
Business Analyst*
$131K
Business Analyst
Median: $131K
Mean (Average): $131K
Data points: 1
Product Analyst*
$120K
$125K
Product Analyst
Median: $123K
Mean (Average): $123K
Data points: 2

Most data science positions fall under different position titles depending on the actual role.

From the graph we can see that on average the ML Engineer role pays the most with a $236,750 base salary while the Product Analyst role on average pays the least with a $122,500 base salary.

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