Airwallex is a fintech company building technology for global payments, treasury, and business financial operations. Its platform brings together business accounts, spend management, payment services, multi-currency transactions, foreign exchange, global transfers, and embedded finance components that businesses can use to create tailored financial products. Airwallex supports more than 150,000 businesses and focuses on secure, reliable, and compliant infrastructure for managing money across borders. Its hiring context spans teams working across financial technology, payments, finance, and the systems that support modern global commerce.
Staff Data Scientist, Growth Algorithms — Airwallex
Lead the development of predictive models, AI agents, and causal systems for Airwallex’s financial platform. Apply data science to improve customer acquisition, retention, and expansion.
Description
- Develop and refine predictive models, personalization and recommendation systems, LLM applications, incentive optimization, and causal inference models.
- Work with Growth, Marketing, Product, Sales, Engineering, and other teams to turn data and AI into recommendations, investment decisions, and go-to-market plans.
- Assess the causal impact of marketing and growth initiatives, determine what is effective, and turn findings into action.
- Provide hands-on technical leadership, mentorship, and long-term direction to raise the data science team’s capabilities.
- Create scalable decision systems with semantic layers, context retrieval, evaluation infrastructure, validation gates, and governance.
- Build machine learning and AI systems that influence product behavior, ranking, pricing, risk, allocation, and customer experiences.
- Bring structure to ambiguous problems, design experiments, account for confounding factors, challenge unreliable conclusions, and deliver dependable production systems.
Requirements
- At least 7 years of industry experience.
- An advanced degree, such as an MS or PhD, in a quantitative field such as statistics, engineering, science, computer science, or economics.
- Expertise in machine learning and statistical modeling for data-driven growth strategy.
- Practical experience building, deploying, and maintaining machine learning models in production systems, including cloud services and real-time or batch pipelines.
- Strong SQL and Python skills.
- Experience using machine learning and statistical models to measure the causal impact of marketing or growth initiatives.
- Strong experience with AI harnesses and building AI agents.
- Experience with schema design and dimensional data modeling.
- Experience communicating analyses and recommendations to leadership and cross-functional teams.
- Experience in technology, financial services, or a high-growth environment.
- Industry experience providing technical mentorship in machine learning and experimentation.
Benefits
- Equity
- Bonus
- Medical, dental, and vision insurance
- 401(k) plan
- Short- and long-term disability coverage
- Basic life insurance
- Well-being benefits
- 20 days of paid vacation
- 12 paid company holidays
- Statutory minimum paid annual leave and public holidays