How would you answer a DS video interview?
Quick Overview
This question evaluates technical proficiency with data tools (Python, R, SQL), the ability to manage ambiguous project requirements, clarity in explaining technical work to non-technical stakeholders, and team alignment and leadership skills within the Behavioral & Leadership domain for a Data Scientist intern role.
Transunion
Feb 3, 2026, 2:57 PM
Data Scientist
Technical Screen
Behavioral & Leadership
0
0
Context
You’re interviewing for a Data Scientist Intern role. The first round is an asynchronous video interview with several prompts. For each prompt, you must record a ~2 minute response (often with limited retries).
Prompts
Prepare responses to the following:
- Python/R impact: Describe a problem you solved using Python or R . What was the problem, what did you build, and what was the outcome?
- SQL usage: Describe a situation where you used SQL . What data did you query, what did you write (high level), and how did it help the business/team?
- Ambiguous project: Tell us about a project with little context / unclear requirements . How did you clarify goals, decide what to do, and execute?
- Explain to non-technical stakeholders: How would you explain one of your technical projects to someone without a technical background ? (Focus on framing, tradeoffs, and impact.)
- Team alignment: In a team project, how do you keep everyone aligned (scope, responsibilities, timelines, decisions)? Provide a concrete example.
Constraints
- Keep each answer to ~2 minutes .
- Aim for clear structure, measurable impact, and good stakeholder communication.
Solution
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