Goldman Sachs Data Scientist Interview
Questions & Process
What 16 candidates said about the rounds, the
questions and how long the wait really is.
From 16 candidate reports · FREE TO READ
Questions candidates reported
Quoted word for word from Goldman Sachs interview reports.
Engineering accounts for 10,860 of 16 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.
“Explain about RNN”
Read reports →“Explain about LSTM”
Read reports →“Explain about transformers”
Read reports →“What are supervised models?”
Read reports →“What does this division do?”
Read report →“Why this division?”
Read report →“Explain about NLP”
Read report →“How does A/B Testing work?”
Read report →“Why GS?”
Read report →Formats, difficulty and experience
Across all 16 Goldman Sachs interview reports.
Question formats
Interview difficulty
Candidate experience
Reports by job function
The interview process
Described in candidates’ own words.
“Get ready with your projects and technical skills from your resume. Behavioral questions are really key here; acing them will help you stand out.”Candidate-reported process
“So I went through interviews at Goldman Sachs for a data role like Data Scientist, Data Engineer, or Quant Analyst. It was pretty intense and well-organized, just like you'd expect from a big finance place.”Candidate-reported process
“So, first, a recruiter or hiring manager gives you a quick call to chat about your background and if you're into the role. Then, there's a technical interview, which might be a coding challenge or solving some data science problems with Python, SQL, or ML stuff. Could be live coding or a take-home project.”Candidate-reported processMore reports lockedRead 300+ more interview experiences
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