Senior Data Scientist, Analytics (Growth) - Airwallex - D01 Cecil, Marina, People’s Park, Raffles Place, SG

Roles & Responsibilities

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 100,000 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 1,500 of the brightest and most innovative people in tech located across more than 20 offices across the globe. Valued at US$5.6 billion and backed by world-leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, 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.

About the Role

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech. This role is based in Singapore.

Responsibilities :

• Identify and quantify opportunities to drive product adoption, and translate insights into roadmap priorities
• Design and implement experiments to measure the impact of growth initiatives (acquisition, activation, retention, reactivation)
• Objectively measure the performance of growth programs and generate actionable insights
• Build scalable measurement frameworks to enable data-driven decision-making across teams
• Build predictive models to identify high-value users for the Growth team to prioritize
• Partner with Growth, Marketing, Sales, and Product teams to shape and execute Growth strategy

Requirements

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications :

Preferred qualifications :

Tell employers what skills you have

R Programming

Data Modeling

Growth Strategy

Search Engine Optimisation

Search Engine Marketing

Product Engineering

Economics

SQL

Python

Statistics

Data Science

Ab Testing

Data Analytics

Search Engine Optimization