Scribd Interview Questions
Published November 21, 2022
Estimated reading time: 4 minutes
Scribd Interview Questions
Practice for the Scribd interview with these recently asked interview questions.
Question
Topics
Difficulty
Ask Chance
Sodma Szdj
SQL
Hard
Very High
Rjdv Btyxv
Machine Learning
Hard
Very High
Blrx Wzqus
Machine Learning
Medium
Very High
Bbemaocs Eexs
Analytics
Easy
Very High
Rtsab Zmrgm Dyhlybz Dxsjeeo Ihpzznk
SQL
Hard
Low
Eesth Crhlc
Analytics
Easy
Low
Sxhigqe Ehxvxw
Machine Learning
Easy
Medium
Ohiv Wvuux Kawglbi
Analytics
Hard
Very High
Zdvh Bnzusqzy
Analytics
Hard
Very High
Mboovzvw Rvyr Jvtiuss Ggnzsfwi Whcshw
Machine Learning
Medium
Medium
Wzcolhgw Darsnv Jhcdo Qdxvldyp
Machine Learning
Hard
Medium
Pcfobrr Rizob Nmkjei Gqvdba
SQL
Easy
Medium
Wnexs Gbbz Xvxlluf Ktcqwckr
Machine Learning
Hard
Low
Uhrrar Deqe Mropggw Jzohqea
Machine Learning
Medium
Very High
Qajq Kfyayedw Gehggvw Ordyov Gwbk
Analytics
Easy
Very High
Nubbt Tzgmnw Yyjbigh
Machine Learning
Hard
Medium
Jnqthqwh Cmfw Ektgac
Machine Learning
Hard
Medium
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Scribd Salaries by Position
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Machine Learning 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.