Problem Solving Behaviors and Decision Making Questions
Covers the interpersonal and cognitive traits that shape how a candidate solves problems, including initiative, ownership, proactivity, resilience, creativity, continuous learning, and evaluating trade offs. Interviewers probe when a candidate takes initiative versus seeks help, how they balance speed versus quality, how they persist through setbacks, how they generate creative alternatives, and how they learn from outcomes. This topic assesses mindset, judgment, and the ability to make principled decisions under uncertainty.
MediumTechnical
0 practiced
You join a project and find flaky ETL jobs, missing lineage, and inconsistent schemas. Outline an immediate triage plan to stabilize analyses over the next two weeks and a roadmap for long-term fixes over three to six months, including which stakeholders to involve and minimal monitoring you would implement quickly.
EasyBehavioral
0 practiced
Tell me about a time you received constructive criticism on an analysis or model. How did you react immediately, what steps did you take to address the feedback, how did you validate the changes, and what did you learn to avoid similar issues going forward?
MediumTechnical
0 practiced
For a fraud-detection model, describe how you would select operating thresholds and balance false positives versus false negatives. Include how you would construct a cost matrix, simulate business impact, segment thresholds by risk group, and maintain threshold decisions over time.
EasyTechnical
0 practiced
Describe a time you mentored a junior data scientist to improve their problem-solving approach. Give a concrete example of coaching, the frameworks you taught (for example hypothesis-driven analysis), actions you assigned, and the measurable outcome or improvement in their work.
MediumTechnical
0 practiced
Given limited compute resources and a four-week time-to-market window, explain how you would prioritize investments across feature engineering, model selection, hyperparameter tuning, and inference optimization to deliver the most business value. Provide a prioritized checklist and justify each item.
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