Be the go-to data partner for the Head of AMER.
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.

Requirements

5+ 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.

Benefits

US-based employees are eligible to participate in medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays in a calendar year

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

causal inference methodsforecastingdata querying languagesSQLPythonRdata architecture technologiesAirflowDatabricksdbt

excellent communication skillsworking with executive-level stakeholdersinfluence strategy

PhDMS