Define what you seek next, with trade-offs
Overview
This question evaluates a candidate's ability to articulate role fit, prioritize attributes and trade-offs, and design measurable onboarding and exit criteria for a Data Scientist role, testing competencies in prioritization, trade-off analysis, self-awareness, and operational planning.
Instacart
Oct 13, 2025, 9:49 PM
Data Scientist
HR Screen
Behavioral & Leadership
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Behavioral & Leadership — Role Fit, Trade‑offs, and 90‑Day Fit Check (Data Scientist)
Task
Articulate what you need to thrive in your next Data Scientist role, how you weigh trade‑offs, and how you will confirm the role is a fit during your first 90 days.
Please address
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Top five attributes
- Rank your top five attributes (e.g., scope/ownership, team size/structure, autonomy/decision rights, problem space, data/experimentation maturity, growth/mentorship, cross‑functional partnership, location/working model, compensation mix).
- Explain how you trade them off when they conflict.
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Minimum acceptable thresholds
- Specify numeric or binary minimums where possible (e.g., people managed, quarterly ownership, experiment throughput, on‑call load, meeting load, team size/skills mix).
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90‑day evaluation plan
- Outline how you will evaluate fit in your first 90 days.
- Include leading indicators you will monitor and explicit exit criteria (conditions that signal the role is not a fit if unmet by day 60–90).
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One dealbreaker and one flexibility
- Name one non‑negotiable.
- Name one area you are flexible on (e.g., cash vs. equity, remote vs. hybrid).
Solution
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