IntermediateSITUATIONAL
Would you like the questions to assess leadership/mentorship responsibilities (mentoring juniors, leading projects) or focus strictly on individual contributor skills?
Data Scientist
General

Sample Answer

I prefer a mix, leaning toward leadership and mentorship for senior roles but still testing individual contributor depth. In my last role leading a five-person analytics pod, I spent about 30% of my time mentoring two junior data scientists while owning model design and productionization. That balance let me coach SQL and model validation practices, while personally delivering a churn model that improved retention by 12% and saved ~$450K annually. When hiring, I ask behavioral questions about mentoring and run a technical take-home to confirm hands-on skills. That combination reveals whether someone can scale impact through others and still write robust code or analyses when needed.

Keywords

Preference for mixed assessment emphasizing leadership for senior rolesConcrete example of mentoring time allocation and team size (5-person pod, 30% mentoring)Quantified outcome from individual contribution (12% retention, $450K saved)Use of behavioral and technical evaluations to probe both areas
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