Senior Data Scientist, Algorithm

About The Role

Airwallex is building an industry-leading online payments infrastructure that helps merchants to collect credit card payments and other forms of payment from consumers around the world. This role will play a crucial role within the online payments product team to help our merchants to increase the success rate of card payments. Connecting the deep domain expertise of the team with data science, we are dynamically adjusting the card scheme messages and various verifications applied to the transaction to increase the chances of the issuing bank authorizing the payment.

Responsibilities

• Design and implement rigorous experiments to improve payment success rates
• Develop optimization algorithms (e.g. contextual multi-armed bandits) to improve payment success rates with minimal opportunity cost
• Build transaction-level predictive models that accurately estimate probability of payment success
• Partner with data engineers to develop tools to identify optimization opportunities at scale
• Partner with Product, Engineering, Risk, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Qualifications

• 5+ 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 executives and cross-functional teams to influence the strategy
• Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus
• Expert in experimentation, machine learning, and statistical modeling to drive data-informed decisions, experience with deploying production machine learning models a plus
• Experience in technology, financial services and/or a high growth environment is advantageous