Goldman Sachs Data Scientist Interview Guide

For campus applicants, the first interview is a video interview conducted on HireVue and takes approximately 30 minutes. Engineering applicants are asked to take a HackerRank assessment. Candidates selected after HireVue are invited to Superday, a series of final-round interviews.

• HireVue: The first interview for campus applicants.
• HackerRank: An assessment for Engineering applicants.
• Superday: Typically between two and five interviews for campus hires, depending on the division, with a cross-section of people they could work with.

Treat screen, take-home, coding, case, behavioral, and onsite as preparation categories, not as Goldman Sachs round names.

For Data Scientist interviews generally, prepare each format around statistics and experimentation, SQL and coding, modeling judgment, and communication of results to non-experts.

• Screen or video: Practice explaining your background, technical choices, and project impact in concise language.
• Take-home or coding: Show correct data handling, clear SQL, readable code, careful checks, and reasoned tradeoffs.
• Case: Define the target metric, assumptions, experimental design, and evidence that would change your recommendation.
• Behavioral or onsite: Use concrete examples of collaboration, disagreement, error correction, and explaining findings to non-experts.

Data Scientist preparation is broader than a coding-only interview. You must connect statistical reasoning, experiment design, SQL, code, and model selection to a decision. Compared with general business interviews, spend more practice time defending assumptions, diagnosing bias or leakage, and translating uncertainty for a non-technical audience.

Interview sequencing varies across employers. Goldman Sachs asks Engineering applicants to take a HackerRank assessment. If your Data Scientist application sits within Engineering, include timed coding and data-manipulation practice; do not assume HackerRank applies outside that applicant group.

Goldman Sachs does not publish how long the process takes. The disclosed timing is that the campus HireVue takes approximately 30 minutes. For campus hires who reach Superday, the final stage typically contains between two and five interviews, depending on the division.

For Data Scientist candidates, the challenge is breadth: technical accuracy, sensible modeling choices, and clear communication may all matter across the preparation categories. Because Superday candidates meet a cross-section of people they could work with, practice presenting consistent evidence while adapting the technical depth to each conversation.

Build your preparation around the capabilities commonly assessed in Data Scientist interviews.

• Statistics and experimentation: Practice selecting tests, explaining assumptions, designing experiments, interpreting uncertainty, and spotting confounding.
• SQL and coding: Work through joins, aggregations, window logic, and data transformations. Explain complexity and test edge cases.
• Modeling judgment: Choose baselines, metrics, validation methods, and monitoring based on the cost of errors. Explain why a simpler model might be preferable.
• Communication: Give a technical version and a plain-language version of each project. State the decision, evidence, caveat, and next action.

Rehearse with a mock interview, then revise your examples until every claim is supported by a decision, action, or result you can explain.