Senior Data Scientist, 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.

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.

We’re seeking a senior Data Scientist to partner closely with the Marketing team to derive actionable data‑driven insights and to directly impact business outcomes. You will develop key Marketing reports, drive deep‑deep analyses, and stay on top of market trends to develop and optimize our Marketing strategies. You’re naturally curious and have a track record of offering recommendations to enhance our brand presence and drive business growth.

You’ll join the Airwallex team during a critical period, where we are building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution. This is a great opportunity to shape the next phase of Airwallex’s growth.

Learn more about the data science team in this blog

What You’ll Do

• Analyze data to assess performance and ROI of Marketing initiatives

• Develop dashboards and reportsto provide observability, enabling stakeholders to make data-driven decisions

• Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects

• Partner with Marketing stakeholders to objectively measure campaign performance, and to identify actionable insights

• Develop data-driven Marketing forecasts and budgets to inform organizational-level planning

• Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns

• Support experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives

Qualification

• 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)

• 2+ years of experience in Marketing Analytics or a similar role

• Experience in digital marketing channels, including email, paid ads, and SEO is highly advantageous

• Experience with communicating the results of analyses to executives and cross-functional teams to influence strategy

• Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus

Great to have

• Experience with Google Analytics, Marketo, and Salesforce

• Knowledge of online A/B testing and experimentation frameworks

• Experience with scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

• Ability to perform statistical analysis and develop machine learning models to drive…