Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
The Growth Data Science team sits at the center of Airwallex’s growth engine, turning data and AI into a durable competitive advantage. We build and scale advanced solutions—from predictive modeling and personalization to LLM-powered systems, incentive optimization, and causal inference—to unlock step-change growth across the customer lifecycle.
Learn more about the data science team in this blog.
The RoleWe’re seeking a Staff Data Scientist to partner closely with the Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that drive measurable business outcomes. In this role, you will apply machine learning models to influence how we acquire, engage, and retain customers globally.
Your work will directly shape Airwallex’s growth strategy, influencing how we acquire, engage, and retain customers. You are naturally curious, business-oriented, and have a proven track record of translating data insights into actionable recommendations that strengthen brand presence and accelerate growth.
Why Join NowYou’ll join the Airwallex team during a critical period, where we are building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution. This is a great opportunity to shape the next phase of Airwallex’s growth.
ResponsibilitiesUplevel the data science team by providing technical mentorship, assuming hands-on leadership to resolve complex problems, and setting the vision for longer term direction
Serve as a strategic thought leader with Marketing, Growth Product, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions
Design and deploy a range of data science solutions—including predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models—to drive measurable business outcomes
Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives
7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Experience with communicating the results of analyses to leadership teams and cross-functional teams to influence the strategy
Technical mentorship experience with machine learning and experimentation in an industry setting
Expert in machine learning and statistical modeling to drive data driven growth strategy
Hands on experience building, deploying, and maintaining machine learning models in production-grade systems (e.g., cloud-based services, real-time and batch pipelines).
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python); experience in schema design and dimensional data modeling a plus
Experience in technology, financial services and/or a high growth environment is advantageous
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunityAirwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Skills Required
- 7+ years of industry experience
- Advanced degree such as a PhD or MS in Statistics, Engineering, Sciences, Computer Science, Economics, or another quantitative field
- Experience communicating analysis results to leadership and cross-functional teams
- Technical mentorship experience in machine learning and experimentation in an industry setting
- Expertise in machine learning and statistical modeling for data-driven growth strategy
- Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems
- Expertise in SQL and Python
- Experience with schema design and dimensional data modeling
- Experience in technology, financial services, or a high-growth environment
Airwallex Compensation & Benefits Highlights
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Healthcare Strength — Available descriptions highlight medical, dental, vision, life, disability, and mental‑health/EAP coverage for U.S. employees, with Modern Health/Rula noted in eligible markets. Feedback suggests this comprehensive core health coverage is a standout element of the package.
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Leave & Time Off Breadth — U.S. postings cite 20 vacation days plus 12 company holidays, alongside birthday leave and three volunteer days in some locations. These policies are portrayed as generous and complemented by flexible remote‑work options in approved locations.
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Equity Value & Accessibility — Eligible employees may receive RSUs or stock options in many markets, with U.S. materials noting RSUs via Carta and performance‑based bonuses. Feedback suggests this ownership component is a key part of total compensation.
Airwallex Insights
What We Do
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000+ businesses worldwide – including Brex, Navan, Qantas, SHEIN, McLaren and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Why Work With Us
Airwallex was founded by people told their idea was unreasonable, and we've hired that way ever since. We move fast, think globally, and give you ownership from day one. If you want to pioneer global finance at scale alongside the ambitious, let's talk.
Gallery
Airwallex Teams
Airwallex Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At a global level, we have a strong in-office culture. We’ve invested in world-class office space in hub cities around the world. We see the benefits of in-person conversation, mentoring, and knowledge-transfer as vital to our long-term success.







