Staff Data Scientist, Growth Analytics

About the role

The Growth Analytics team at Airwallex is a dynamic group of data scientists and analytics professionals. We are passionate about leveraging data to drive business growth, optimize strategies, and unlock new opportunities across the company. As key partners to Growth, Marketing, Sales, and Product, our team works collaboratively to enable data-informed decision-making, experimentation, and scalable measurement frameworks supporting Airwallex's global expansion.

Responsibilities

• This hybrid role is based in San Francisco or New York City.
• Act as a technical partner to Growth, Marketing, Sales, and Data Science leaders to develop and implement Airwallex's growth strategy.
• Lead and mentor the team in applying data science techniques-including root-cause analysis, statistical modeling, and experimentation-to unlock acquisition, activation, retention, and reactivation.
• Design and implement robust, scalable measurement frameworks for data-driven decision-making across multiple teams.
• Communicate complex data insights and recommendations clearly and persuasively to both technical and non-technical audiences, ensuring findings drive business impact.
• Translate open-ended or complex business problems into structured, high-impact data science initiatives.
• Mentor and coach junior data scientists, serving as the single-threaded technical owner on critical cross-functional projects.

Requirements

• We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory.
• At least 7 years of 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 analytics teams.
• Strong communication and interpersonal skills; demonstrated ability to influence strategy in high-growth, cross-functional environments.
• Track record of applying data science to drive measurable growth outcomes.
• Technical proficiency with SQL and Python/R; experience in data modeling is a plus.
• Experience in technology, financial services, or high-growth environments is advantageous.
• Experience mentoring teams in a fast-paced, startup, or fintech environment.
• Applicant Safety Policy: Fraud and Third-Party Recruiters
• Airwallex does not accept unsolic

Additional Information

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 . 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.

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