Staff Data Scientist, GTM

ABOUT AIRWALLEX 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 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN 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 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 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. ATTRIBUTES WE VALUE We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the team The GTM Data Science team at Airwallex is a collaborative group of analytics and data science professionals passionate about driving commercial success with cutting-edge solutions. We work closely with Product, Growth, and Commercial teams to accelerate revenue growth, optimize efficiency, and build the data foundations supporting Airwallex’s next phase. Our mandate is to use data-driven methods—not only to understand what changed, but to uncover why, and transform those insights into scalable impact. What you’ll do As a Staff Data Scientist, GTM, you will be a technical leader within the GTM Data Science team, partnering cross-functionally to develop state-of-the-art solutions to GTM challenges. Your work will span revenue forecasting, causal inference, and embedding AI-driven insights across the commercial lifecycle. You’ll drive proactive, exploratory analysis, translate complex modeling into clear business actions, and help shape the data science operating model at Airwallex. This hybrid role is based in San Francisco or New York City. Responsibilities: - Act as a technical partner to Product, Growth, and Commercial teams to design and implement data science solutions accelerating revenue and improving commercial outcomes. - Lead exploratory analysis to identify and scale revenue levers, uncover emerging trends, and operationalize insights into robust, repeatable workflows. - Develop and own revenue forecasting models and performance insights (e.g., pipeline health, conversion/retention drivers, scenario planning) that serve as a “source of truth” across the business. - Apply advanced causal inference techniques (such as DiD, synthetic control, and DoubleML) to estimate impact and inform strategy when RCTs are infeasible. - Design and deploy AI-enabled solutions throughout the sales and customer lifecycle, including sales effectiveness, retention, and expansion initiatives. - Communicate technical results and recommendations clearly to both technical and non-technical stakeholders, including executives. - Mentor and coach junior data scientists, providing technical guidance on high-impact, cross-functional projects. Who you are We’re looking for people who meet the minimum requirements for