Microsoft Data Scientist Interview
Questions & Process
What 374 candidates said about the rounds, the
questions and how long the wait really is.
From 374 candidate reports · FREE TO READ
Questions candidates reported
Quoted word for word from Microsoft interview reports.
Engineering accounts for 10,860 of 374 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.
“What is underfitting?”
Read reports →“What is overfitting?”
Read reports →“What is z-score?”
Read reports →“Write how TF-IDF works.”
Read reports →“What is the bias-variance trade-off?”
Read report →“Where is K-NN used?”
Read report →“What is regularization?”
Read report →“Explain Random Forests.”
Read report →“Explain attention”
Read report →Formats, difficulty and experience
Across all 374 Microsoft interview reports.
Question formats
Interview difficulty
Candidate experience
Reports by job function
The interview process
Described in candidates’ own words.
“5 rounds, 2 coding, 2 ML fundamentals and discussion, and one final discussion round with the hiring manager. The process was very quick and the decision came within a week of starting the interviews.”Candidate-reported process
“3- 45 minute sessions. I was expecting ML algorithms and Data science fundamentals (since that was told by HR). Instead there were 3 Leetcode style rounds - 2 extremely hard ones (couldn’t find them on leetcode), and 1 very easy linked list question.”Candidate-reported process
“It was a very professional process! Pretty standard data science interview. They focus on data science fundamentals and how it connects to the specific team. Interviews were done virtually. There are some coding exercises.”Candidate-reported processMore reports lockedRead 300+ more interview experiences
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