Staff Data Scientist, Growth Analytics

Airwallex
SG - SingaporePosted 24 March 2026

Job Description

Staff Data Scientist, Growth Analytics 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 2,000 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. We’re hiring an experienced Staff Data Scientist to be the technical lead for our Growth Analytics team. You will partner with Growth, Sales, Marketing, and Product teams to identify opportunities, optimize strategies, and unlock scalable growth using data analytics. What You'll Do - Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy - Lead and mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation) - Establish insight-driven approaches to address key business problems and drive business impact - Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy - Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders - Translate open-ended business problems into clearly defined data science initiatives for the team to implement - Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives Qualifications - 7+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred - Proven experience mentoring or leading data science or data analytics teams - Excellent communication and interpersonal skills; proven ability to influence strategy in high-growth environments - Demonstrated experience applying data science to drive growth initiatives with concrete impact - Strong skills in SQL and Python/R; experience with data modeling a plus - Experience in technology, financial services and/or a high growth environment is advantageous APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS 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 ... (truncated, view full listing at source)
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