Describe leading cross-functional research collaboration
Overview
This question evaluates leadership and cross-functional collaboration competencies in a data science context, including stakeholder alignment, trade-off negotiation, project delivery, and the ability to translate research into measurable product impact, and it is categorized under Behavioral & Leadership within the Data Science domain.
Google
Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Behavioral & Leadership
0
0
Behavioral Prompt: STAR Example of Cross-Functional Collaboration
Provide a STAR-formatted example from your resume or research where you collaborated with a multi-functional team (e.g., PM, Engineering, Design, Legal) to ship a data-science deliverable.
Include the following:
Situation/Task
- Brief context and the user/business problem.
- Conflicting goals or constraints (e.g., privacy, latency, UX, infra cost).
- The success metric(s) you committed to upfront.
Action
- How you aligned stakeholders (e.g., pre-reads, design doc, decision log).
- Trade-off negotiations (e.g., latency vs. accuracy, recall vs. precision) and how you secured resources.
- How you handled a fundamental disagreement.
- How you de-risked the path (e.g., spike/prototype, pre-mortem, kill criteria).
Result
- Quantified impact with business KPI deltas and confidence intervals, and the launch date.
- Lessons learned and what you’d do differently (e.g., change management, documentation, on-call/runbook).
Solution
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