You are interviewing for a Data Scientist Intern role in an asynchronous video interview, with about 2 minutes per response. Prepare strong answers to the following prompts:
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Describe a problem you solved using Python or R. What was the problem, why did you choose the tool, what analysis or modeling did you do, and what was the outcome?
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Describe a situation where you used SQL. What data were you working with, what queries or techniques did you use, and what business question did the work answer?
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Tell me about a project where you started with very little context or ambiguous requirements. How did you define the problem, gather missing information, choose success metrics, and make progress despite uncertainty?
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How would you explain one of your technical projects to a stakeholder with no technical background? Focus on the problem, the recommendation, and the impact rather than jargon.
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In a team project, how do you keep everyone aligned? Discuss goal-setting, communication, ownership, decision-making, and how you handle misalignment or changing priorities.