Staff Data Scientist, Algorithm, Growth
US - San Francisco · 7+ years experience · Full-time · Hybrid · Posted Oct 12, 2026
At a glance
- Experience
- 7+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- US - San Francisco
About AirWallex
- 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 us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
- We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
- We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full.
About the role
- We’re seeking a Staff Data Scientist to partner closely with the Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that drive measurable business outcomes.
- In this role, you will apply machine learning models to influence how we acquire, engage, and retain customers globally.
- Your work will directly shape Airwallex’s growth strategy, influencing how we acquire, engage, and retain customers.
Responsibilities
- Uplevel the data science team by providing technical mentorship, assuming hands-on leadership to resolve complex problems, and setting the vision for longer term direction
- Serve as a strategic thought leader with Marketing, Growth Product, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions
- Design and deploy a range of data science solutions—including predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models—to drive measurable business outcomes
- Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives
Requirements
- 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
- Experience with communicating the results of analyses to leadership teams and cross-functional teams to influence the strategy
- Technical mentorship experience with machine learning and experimentation in an industry setting
- Expert in machine learning and statistical modeling to drive data driven growth strategy
- Hands on experience building, deploying, and maintaining machine learning models in production-grade systems (e.g., cloud-based services, real-time and batch pipelines).
- Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python); experience in schema design and dimensional data modeling a plus
Preferred qualifications
- Experience in schema design and dimensional data modeling a plus
- Experience in technology, financial services and/or a high growth environment is advantageous
Skills
- SQL
- Python
- Machine Learning
- Statistical Modeling
- Predictive Modeling
- Recommendation Systems
- LLM-powered Applications
- Incentive Optimization
- Causal Inference
- Cloud-based Services
- Real-time And Batch Pipelines
- Schema Design
Show all 14 skills
- Dimensional Data Modeling
- Experimentation
