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Airwallex is an AI-native financial operating system serving over 675,000 businesses globally, including McLaren Racing, Qantas, SHEIN, and TikTok. The company provides regulated financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific, with 2,300+ employees across 27 offices.
In this Senior Data Scientist role, you will shape product and business strategy through rigorous quantitative analysis, experimentation, and statistical thinking. You'll translate complex data into clear, actionable recommendations that improve decision quality, reduce decision latency, and guide roadmap and investment decisions.
Key responsibilities include:
- Drive product and business decisions by translating complex data into clear, actionable recommendations
- Build scalable analytics systems and decision frameworks that help teams understand what changed, determine next steps, and measure initiative impact
- Partner with Product, Engineering, Marketing, Sales, Finance, and other cross-functional teams to identify opportunities, define success metrics, and measure impact
- Apply statistical analysis, experimentation, and quantitative methods to large and complex datasets to improve decision quality
- Influence product strategy, investment decisions, and roadmaps through reliable analysis and clear communication with executives and stakeholders
You'll work from the Singapore office five days per week. The Data Science team is evolving from individual analyses into scalable systems of decision and action, spanning analytics harnesses, experimentation, machine learning, AI, and production systems.
REQUIREMENTS:
- Minimum five years of industry experience in data science, analytics, or a related quantitative discipline
- Degree in Computer Science, a quantitative discipline, or related field
- Expert-level experience with SQL and Python, R, or comparable scripting and statistical tools
- Strong experience applying statistical analysis, experimentation, and quantitative methods to drive data-informed decisions
- Experience working with large and complex datasets to solve ambiguous business or product problems
- Experience communicating analytical findings and recommendations to executives and cross-functional stakeholders
- Track record of influencing product strategy, investment decisions, or roadmaps through data
- Strong understanding of data modelling and schema design
PREFERRED:
- Experience in technology, financial services, fintech, or high-growth environments
- Experience building scalable analytics systems, experimentation frameworks, or decision-support infrastructure
- Experience applying machine learning or AI to product, business, or customer problems
