Answer common data science video interview prompts
Quick Overview
This question set evaluates technical proficiency with Python/R and SQL, analytical problem solving, the ability to explain complex analyses to non-technical audiences, handling of ambiguous requirements, and collaboration and leadership in team settings.
Transunion
Feb 6, 2026, 12:00 AM
Data Scientist
Technical Screen
Behavioral & Leadership
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You are completing an asynchronous video interview for a Data Scientist Intern role. You will be shown several prompts and must record a ~2-minute answer for each.
Prepare strong answers for the following prompts:
- Python/R problem solving: Describe a problem you solved using Python and/or R. What was the problem, what did you do, and what was the outcome?
- SQL usage: Describe a situation where you used SQL. Why did you use it, what queries/techniques did you rely on, and what did you deliver?
- Ambiguous/low-context project: Tell us about a project where you had little context or unclear requirements. How did you proceed?
- Explaining to non-technical audiences: Pick one of your projects and explain it to someone without a technical background.
- Keeping a team aligned: In a team project, how do you keep everyone aligned and moving in the same direction?
Constraints/format:
- ~2 minutes per prompt.
- Focus on clear structure, concrete actions, and measurable impact.
- Assume an interviewer cares about analytical thinking, communication, and collaboration.
Solution
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