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 Data Scientist, GTM, you will be a key contributor within the GTM Data Science team, collaborating cross-functionally to develop innovative solutions to GTM challenges. Your work will cover revenue forecasting, causal inference, and embedding AI-driven insights throughout the commercial lifecycle. You’ll conduct proactive, exploratory analyses, translate complex modeling results 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 trusted partner to Product, Growth, and Commercial teams to design and implement data science solutions that drive revenue acceleration and enhance commercial outcomes. - Lead exploratory analyses to identify and scale revenue levers, uncover emerging trends, and operationalize insights into robust, repeatable workflows. - Develop and manage revenue forecasting models and performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning) that provide 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 across the sales and customer lifecycle, supporting initiatives in sales effectiveness, retention, and expansion. - Clearly communicate technical findings and data-driven recommendations to both technical and non-technical stakeholders, including executives. - Collaborate with and mentor junior team members, sharing technical expertise on high-impact, cross-functional projects. Who you are We’re looking for candid