Behavioral: Past Experience, Teamwork, and Handling a Conflict or Project Problem
Company: Elsevier
Role: Data Scientist
Category: Behavioral & Leadership
Difficulty: easy
Interview Round: Technical Screen
A behavioral round for a data scientist role covers your previous work experience, how you work in a team, and how you handle conflicts or problems. Answer the three prompts below with real examples from your own work.
### Clarifying Questions
- Should the examples come from data science work, or can they come from earlier roles or academic projects?
- Does "problem" include technical or project setbacks, such as unreliable data or a slipping deadline, or only disagreements between people?
- How long should each answer run before the interviewer's follow-up questions?
### Part 1 — Your previous work experience
Walk the interviewer through your recent work experience: what you worked on, what you were responsible for, and what came of it.
```hint Choose the thread
Pick the one or two projects closest to the work of this role, and for each give the problem, your own contribution and a measurable result; the interviewer will ask about the rest.
```
#### What This Part Should Cover
- A concise, structured overview rather than a chronological reading of the resume
- The candidate's own contribution, separated from the team's
- Outcomes backed by concrete evidence, and a link to the role being interviewed for
### Part 2 — Working in a team
Tell me about a project where the outcome depended on working closely with other people, such as engineers, analysts or business partners. What was your role, and how did you coordinate the work?
```hint Show the dependencies
Choose a project where your analysis depended on someone else's work, or theirs on yours, so you can show how you agreed on scope, handed work over and kept each other informed.
```
#### What This Part Should Cover
- The team, the goal and the candidate's specific role
- Concrete coordination: agreeing on definitions and scope, checkpoints, and communicating results to non-technical partners
- The result, and what the candidate would repeat or change
### Part 3 — A conflict or a problem
Tell me about a time you had a conflict with a teammate or stakeholder, or ran into a serious problem on a project. How did you handle it, and how did it turn out?
```hint Be one of the parties
Pick a situation in which you held one of the positions or owned part of the problem, not one you only watched, and be ready to say what the other side had right.
```
#### What This Part Should Cover
- A real disagreement or setback with stakes, described without blaming others
- The actions the candidate took personally, including how evidence or data was used to resolve it
- The outcome, the working relationship afterward, and what the candidate learned
### What a Strong Answer Covers
- Stories structured as situation, task, action and result, kept concise
- First-person ownership: what "I" did, distinct from what "we" did
- Measurable results, or an honest account when the outcome was mixed
- Reflection that shows how the candidate's behavior changed afterward
- Examples that fit data science work, such as ambiguous requirements, data quality and communicating findings
### Follow-up Questions
- Looking back on the conflict, what would you do differently, and why?
- Tell me about a time your analysis contradicted what a stakeholder expected or wanted to hear. How did you handle it?
- How did you decide whether to escalate the problem or resolve it within the team?
Overview: A data scientist behavioral round that asks you to walk through your previous work experience, describe how you worked in a team, and tell a story about a conflict or a serious project problem. It tests structured storytelling, personal ownership, collaboration with technical and business partners, and reflection on what you learned.
Read the full Elsevier Data Scientist interview experience this question came from