Data Scientist

About the team

The Strategic Data Science team provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify Airwallex’s rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the US, China, and Singapore.

Learn more about the data science team in this blog

What you’ll do

Responsibilities:

• Be the go-to data partner for regional executives

• Use causal inference methods to understand how macroeconomic events impact the business.

• Leverage AI to generate insights and improve business and team efficiency.

• Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.

• Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

• 3+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) 

• Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy.

• Expertise in causal inference methods and forecasting.

• Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R).

• Experience with data architecture technologies such as Airflow, Databricks, and dbt.

Preferred qualifications:

• Experience in technology, financial services and/or a high growth environment.

• Experience with Excel and Finance systems (e.g. Oracle).