Staff Data Scientist, Algorithm, Growth

The role

You will build data science systems to improve customer acquisition, activation, engagement, retention, and expansion. You will design and deploy predictive models, recommendation systems, and LLM-powered applications to drive business outcomes.

What you will do

• Design, deploy, and iterate on predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models.
• Partner with Growth, Marketing, Product, Sales, Engineering, and other cross-functional teams.
• Measure the causal impact of marketing and growth initiatives.
• Raise the technical bar for the data science team through hands-on leadership and mentorship.

Required qualifications

• 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, the Sciences, Computer Science, or Economics.
• Expert knowledge of machine learning and statistical modelling for data-driven growth strategy.
• Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems, including cloud-based services and real-time or batch pipelines.
• Strong experience with data querying languages such as SQL and scripting languages such as Python.
• Experience applying machine learning and statistical models to measure the causal impact of marketing or growth initiatives.
• Strong experience in AI harness and building AI agents.

Nice to have

• Experience with schema design and dimensional data modelling.
• Experience communicating analysis and recommendations to leadership and cross-functional teams to influence strategy.
• Experience in technology, financial services, or a high-growth environment.
• Experience providing technical mentorship on machine learning and experimentation in an industry setting.

About the company

Airwallex is an AI-native financial operating system used by businesses to run financial operations or build financial products. It is a regulated backbone for global payments with infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.