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Airwallex·Data Scientist·Onsite - Behavioral / Leadership·Senior

Senior
Jul 2026

Summary

Behavioral round for a Data Scientist role at Airwallex, focused almost entirely on cross-functional collaboration and influence. One big question, lots of layers to it.

Questions Asked (1)

Q1

Tell me about a time you worked with cross-functional partners (Product, Engineering, Design, Marketing, etc.) on an important project. How did you align on goals and metrics, handle disagreements, communicate tradeoffs when data and stakeholder preferences conflicted, influence the outcome without formal authority, and drive the project to a conclusion?

Cross-functional AlignmentStakeholder ManagementConflict Resolution
Author's notes

This is basically five questions jammed into one and they expect you to hit all of them.

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AI HintsAI Generated

Suggested Approach

Use the STAR method to structure a compelling story that highlights your role as a data scientist in aligning cross-functional teams. Focus on how you used data to drive decisions, manage conflicts, and influence without authority, while emphasizing the project's impact on business metrics.

Pro tip: Quantify the impact of your data-driven decisions on business outcomes (e.g., revenue increase, cost reduction) to demonstrate your value. Also, show humility by acknowledging others' contributions and learning from disagreements.

1. Set the Scene

Briefly describe the project, your role, and the cross-functional team involved. Highlight the project's importance to the business.

2. Align on Goals and Metrics

Explain how you facilitated alignment on shared goals and defined success metrics. Mention any workshops or data-driven discussions you led.

3. Navigate Disagreements and Tradeoffs

Describe a specific disagreement, how you used data to inform tradeoffs, and how you communicated conflicting stakeholder preferences.

4. Influence Without Authority

Detail how you built trust and persuaded stakeholders to adopt your recommendations, even without formal authority.

5. Drive to Conclusion and Impact

Summarize how you drove the project to completion, the results achieved, and the lessons learned for future cross-functional work.

Key Points to Mention

  • Use of data to align stakeholders on goals and metrics (e.g., A/B testing, KPI definition)
  • Techniques for handling disagreements (e.g., data-driven tradeoff analysis, stakeholder interviews)
  • Communication strategies for conflicting preferences (e.g., transparent reporting, scenario planning)
  • Influence without authority (e.g., building consensus, leveraging relationships, presenting compelling narratives)
  • Project management skills (e.g., setting milestones, regular check-ins, risk mitigation)
  • Quantifiable business impact (e.g., increased conversion rate, reduced churn)

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.