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Staff Data Scientist, Analytics

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Airwallex

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Location:
Singapore , Singapore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Strategic Data Science team provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify Airwallex’s rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the US, China, and Singapore.

Job Responsibility:

  • Be the go-to data partner for the CEO and Regional Business Leads
  • Use causal inference methods to understand how macroeconomic events impact the business
  • Leverage AI to generate insights and improve business and team efficiency
  • Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts
  • Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions
  • Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking

Requirements:

  • 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
  • Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy
  • Expertise in causal inference methods and forecasting
  • Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)
  • Experience with data architecture technologies such as Airflow, Databricks, and dbt

Nice to have:

  • Experience in technology, financial services and/or a high growth environment
  • Experience with Excel and Finance systems (e.g. Oracle)

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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