Data Science Project You Are Most Proud Of: Stakeholders, Impact and Hindsight

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Quick Overview

A behavioral question for a data scientist role: walk through the project you are most proud of, name the cross-functional stakeholders and what each needed, explain the project's impact, and say what you would do differently. It tests ownership, collaboration, impact measurement and self-reflection.

Data Science Project You Are Most Proud Of: Stakeholders, Impact and Hindsight

Company: Glean

Role: Data Scientist

Category: Behavioral & Leadership

Difficulty: medium

Interview Round: HR Screen

In a hiring-manager interview for a data scientist role, the interviewer first describes what the role involves and then asks about your experience through a single project: 1. Walk me through the project you are most proud of. 2. Which cross-functional stakeholders did you work with on it? 3. What was the project's impact? 4. If you did the project again, what would you do differently? Answer all four about the same project so that a hiring manager outside your domain can follow, and expect probing on any claim or number you give. ```hint Choose for the whole sequence Before you start, check that the project you pick has partners from other functions, an outcome you measured, and a decision you would now make differently. The later questions need all three. ``` ```hint Measured against what When you state the impact, ask what it is compared with and how you know the change came from your work rather than from something else. ``` ### Clarifying Questions - Should the project come from paid work, or can it come from research or a degree program? - How much technical depth do you want relative to business context? - Should impact be stated in business terms, such as revenue, cost or time saved, or is a model or analysis result enough? - Would you prefer the project closest to this role's work, or the one I consider strongest overall? ### What a Strong Answer Covers - A project choice justified in one line and relevant to the role, with the candidate's own contribution clearly separated from the team's - A concise walkthrough of the problem and of the key analytical or modeling decisions, with the reason for each - Cross-functional stakeholders named by function, what each needed, and how a disagreement or trade-off between them was handled - Impact measured against a baseline or control, translated into terms the business cares about, with its limits stated honestly - A specific hindsight change with its consequence, and evidence that the lesson has since been applied ### Follow-up Questions - Which stakeholder was hardest to align, and what did you do when they disagreed with your recommendation? - How do you know the impact came from your work rather than from something else that changed at the same time? - What was the biggest technical risk in the project, and how did you reduce it? - If a teammate had to maintain this work after you left, what would they find hardest?

Overview: A behavioral question for a data scientist role: walk through the project you are most proud of, name the cross-functional stakeholders and what each needed, explain the project's impact, and say what you would do differently. It tests ownership, collaboration, impact measurement and self-reflection.

Read the full Glean Data Scientist interview experience this question came from

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Glean
Oct 25, 2026
mediumData ScientistHR ScreenBehavioral & Leadership
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In a hiring-manager interview for a data scientist role, the interviewer first describes what the role involves and then asks about your experience through a single project:

  1. Walk me through the project you are most proud of.
  2. Which cross-functional stakeholders did you work with on it?
  3. What was the project's impact?
  4. If you did the project again, what would you do differently?

Answer all four about the same project so that a hiring manager outside your domain can follow, and expect probing on any claim or number you give.

Clarifying Questions Guidance

  • Should the project come from paid work, or can it come from research or a degree program?
  • How much technical depth do you want relative to business context?
  • Should impact be stated in business terms, such as revenue, cost or time saved, or is a model or analysis result enough?
  • Would you prefer the project closest to this role's work, or the one I consider strongest overall?

What a Strong Answer Covers Guidance

  • A project choice justified in one line and relevant to the role, with the candidate's own contribution clearly separated from the team's
  • A concise walkthrough of the problem and of the key analytical or modeling decisions, with the reason for each
  • Cross-functional stakeholders named by function, what each needed, and how a disagreement or trade-off between them was handled
  • Impact measured against a baseline or control, translated into terms the business cares about, with its limits stated honestly
  • A specific hindsight change with its consequence, and evidence that the lesson has since been applied

Follow-up Questions Guidance

  • Which stakeholder was hardest to align, and what did you do when they disagreed with your recommendation?
  • How do you know the impact came from your work rather than from something else that changed at the same time?
  • What was the biggest technical risk in the project, and how did you reduce it?
  • If a teammate had to maintain this work after you left, what would they find hardest?