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Airwallex is seeking a Head of Growth Data Science to lead the team responsible for using data, experimentation, and advanced analytics to accelerate global growth. The Growth Data Science team partners closely with Product, Marketing, Sales, and regional business leaders to identify growth opportunities across the customer lifecycle—from acquisition and activation to conversion, retention, and expansion.
In this role, you will act as a strategic data partner to senior leaders across Growth, Product, Marketing, Sales, and regional businesses. You will translate complex analyses into clear recommendations that shape business strategy and investment decisions. Key responsibilities include establishing a consistent, trusted framework for measuring growth performance across markets, channels, and customer segments; leading analytical efforts across the growth funnel; identifying opportunities to improve channel efficiency, customer journeys, pricing, and go-to-market performance; and developing segmentation, propensity, attribution, and optimization models to inform growth initiatives.
You will build and scale experimentation frameworks to measure the impact of product, marketing, and commercial initiatives, and lead the application of causal inference techniques to distinguish correlation from true incremental impact. You will establish best practices for experiment design, measurement, interpretation, and decision-making. Additional responsibilities include owning forecasting and planning models that support growth targets and resource allocation; developing metrics, dashboards, and analytical tools that provide visibility into growth performance; partnering with Finance to connect operating drivers with financial outcomes; and defining the roadmap for applying machine learning and Generative AI to growth analytics and decision-making.
You will build intelligent tools that automate insight generation, improve targeting, and enhance operational efficiency, and partner with engineering and data platform teams to productionize models and analytical products.
About Airwallex: Founded in Melbourne in 2015, Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use the platform to run their financial operations or build and monetize financial products. The company is regulated and operates as the backbone behind global payments, with 85+ licenses and infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. Airwallex is co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices.
REQUIREMENTS:
Minimum Qualifications:
- Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, Mathematics, or Engineering, or equivalent practical experience
- 10+ years of experience in data science, analytics, quantitative strategy, or applied machine learning
- At least 5 years of experience managing and developing high-performing technical teams
- Demonstrated experience partnering with executive and senior business leaders to influence growth strategy
- Hands-on experience with experimentation, causal inference, forecasting, or machine learning in a production environment
- Strong proficiency in SQL and Python or R
- Experience working with modern data platforms and tooling, such as Databricks, Snowflake, dbt, Airflow, or equivalent
- Proven ability to translate analytical insights into measurable business outcomes
- Experience productionizing Generative AI applications, intelligent analytics tools, or agentic workflows
Preferred Qualifications:
- Advanced degree in Econometrics, Statistics, Machine Learning, Computer Science, Economics, or a related quantitative discipline
- Experience in fintech, payments, financial services, or high-growth B2B SaaS
- Experience leading data science teams across multiple growth functions, markets, or product lines
- Experience with customer lifecycle analytics, marketing measurement, attribution, pricing, or sales optimization
- Familiarity with global payments, cross-border commerce, and regional differences in customer and market behavior
- Experience building data products or decision systems used by senior executives and cross-functional teams
