About the Job
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 pri...
You’ll shape product and business strategy through rigorous quantitative analysis, experimentation, and statistical thinking. You’ll turn complex data into clear recommendations that improve decision quality, reduce decision latency, and guide roadmap and investment decisions.
Required Skills & Abilities
At least five years of industry experience in data science, analytics, or a related quantitative discipline.
A degree in Computer Science, a quantitative discipline, or a 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.
A track record of influencing product strategy, investment decisions, or roadmaps through data.
Strong understanding of data modelling and schema design.
Experience in technology, financial services, fintech, or another high-growth environment.
Experience building scalable analytics systems, experimentation frameworks, or decision-support infrastructure.
Experience applying machine learning or AI to product, business, or customer problems.
You're comfortable owning the roadmap yourself.
You're comfortable making decisions with incomplete information and moving quickly anyway.
You’re comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA.
You can advocate hard for a position, then fully support the team's direction once a call is made.
You simplify complexity rather than hiding behind it.
Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimises product and business outcomes in real time.
The work spans analytics harnesses, experimentation, machine learning, AI, and production systems that improve decision quality and drive measurable business outcomes.
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.
