Senior Data Scientist, Product Analytics

About the role

Airwallex, the AI-native financial operating system used by more than 675,000 businesses, is hiring a Senior Data Scientist, Product Analytics. The role works with Product, Engineering and cross-functional partners to solve complex product problems and shape strategy through data, using quantitative analysis, experimentation and statistical thinking. It is based in Singapore.

Key responsibilities

• Define, understand and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations.
• Work with large and complex data sets to solve business problems using different analytical and statistical approaches.
• Use quantitative analysis, experimentation, data mining and data presentation to develop product strategies.
• Measure the success of product efforts through goal setting, forecasting and monitoring of key product metrics.
• Partner with Product, Engineering and other teams to inform, influence, support and execute product strategy and investment decisions.

Required profile

• Minimum 5 years of industry experience and a degree in a quantitative field.
• Experience communicating analysis results to executives and cross-functional teams to influence strategy.
• Ability to perform statistical analysis to drive data-informed decisions.
• Preferred: experience in technology, financial services and/or a high-growth environment.

Required skills

• Expertise in data querying languages (e.g. SQL), scripting languages (e.g. Python) and/or statistical software (e.g. R).
• Experience in schema design and dimensional data modeling is a plus.