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Goldman Sachs Data Scientist Interview Questions

Goldman Sachs Data Scientist Interview Questions

Goldman Sachs Data Scientist interviews typically run 5 stages — Phone interview, HR screening / HackerRank assessment, One-on-one interviews, Presentation round, and final client-facing round — and take about 4-6 weeks, based on candidate-reported interviews on Glassdoor. Below: the exact stages, real sample questions asked, and what to prepare.

Goldman Sachs Data Scientist interview process & stages

StageWhat happens
Phone interview36% of candidates report an initial phone screen
HR screening / HackerRank assessmentInitial screening combined with a HackerRank-style coding assessment
One-on-one interviews18% of candidates report one-on-one technical rounds
Presentation round11% of candidates report a presentation component
Final client-facing roundSome candidates report a final face-to-face round with a client team

Typical timeline: 4-6 weeks

Source: Glassdoor: Goldman Sachs Data Scientist / Data Science interview reports.

Real sample Data Scientist interview questions asked at Goldman Sachs

  1. Write a query to identify accounts with anomalous trading volume in the past week.
  2. How would you build a model to detect potentially fraudulent transactions?
  3. Explain how you'd handle class imbalance in a fraud- or risk-detection model.
  4. Tell me about a time you had to present a model's limitations honestly to a skeptical stakeholder.
  5. How would you design an experiment to test a new risk-scoring model before full rollout?

FAQs

How many rounds does Goldman Sachs use for Data Scientist?

Candidates report phone interviews, HackerRank assessments, and multiple technical rounds; one account describes 3 rounds ending in a face-to-face interview with a client team.

Is there a coding assessment?

Yes — HackerRank-style assessments are explicitly mentioned by candidates.

Is there a presentation round?

Reported by about 11% of candidates.

How long does the process take?

Candidates report 4-6 weeks on average.

Does the role involve client-facing rounds?

For some data-science roles embedded with client teams, yes — a final client-facing interview is reported.

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Prep smarter, not longer

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