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Airwallex

Staff Data Scientist, Algorithm (Payments Optimization)

Airwallex

Published 07 May 2026
Melbourne, Singapore
Full Time

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Role Highlights

Languages used

Sharp
SQL
Python
R

Key skills

Data Science
Applied ML
Computer Science
LLMs
Infrastructure
Embedded
AI
Optimization
Testing
Inference
Machine Learning
PhD
Quantitative
Statistics
Economics
Search

Tools, Libraries and Frameworks

IOS
SalesForce
HTTP

Description

The role involves driving the technical direction of the payments optimization team by designing and implementing advanced algorithms. The focus is on optimizing payment conversion rates, managing fraud risk, and controlling transaction costs.

Required Qualifications and Skills

Candidates must possess an advanced degree, such as a PhD or MS, in a quantitative field like Statistics, Engineering, Computer Science, or Economics. A minimum of five years of industry experience in data science or applied machine learning is required. Applicants must demonstrate proficiency in SQL and Python or R. Furthermore, the role necessitates proven experience in experimentation and causal inference to drive product decisions.

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Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Airwallex

Size

1165

Founded

HQ

Global, HK

Public/Private

Privately Held

Description

Airwallex is a leading global financial platform for modern businesses, offering trusted solutions to manage everything from payments, treasury, and spend management to embedded finance. With our proprietary infrastructure, Airwallex takes the friction out of global payments and financial operations, empowering businesses of all sizes to unlock new opportunities and grow beyond borders. Proudly founded in Melbourne, Airwallex supports over 100,000 businesses globally and is trusted by brands such as Brex, Rippling, Navan, Qantas, SHEIN and many more. For more information, visit http://www.airwallex.com For a full list of US state licenses & disclosures, please visit https://www.airwallex.com/us/state-licenses

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