Airwallex

Staff Data Scientist

UK - London, Remote. Posted 25 days ago

The role

You will help make strategic and operational decisions through analysis, forecasting, and data storytelling. You will provide technical mentorship and build scalable systems of decision support and action.

What you will do

  • Uplevel the data science team through technical mentorship and hands-on leadership
  • Act as a strategic thought partner to cross-functional teams
  • Apply quantitative analysis, data mining, forecasting, and data storytelling
  • Define goals, build forecasts, and monitor key business metrics
  • Evolve data science into scalable systems of decision support
  • Build systems of decision to help teams understand changes and determine actions
  • Build systems of action using machine learning and AI to shape product behavior
  • Structure ambiguous problems and design experiments
  • Build production systems that produce reliable outcomes

Required qualifications

  • 8+ years of industry experience
  • An advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics
  • Experience communicating analytical results to leadership and cross-functional teams to influence strategy
  • Experience providing technical mentorship in data science or quantitative analysis in an industry setting
  • Expert-level ability in data-querying languages such as SQL
  • Expert-level ability in scripting languages such as Python
  • Expert-level ability in statistical or mathematical software such as R

Nice to have

  • Comfortable owning the roadmap yourself
  • Own the outcome and don't wait for permission to fix what's broken
  • Comfortable with ambiguity
  • Connect dots across functions and hold the big picture without losing grip on the details
  • Simplify complexity

About the company

Airwallex is an AI-native financial operating system for a real-time, intelligent economy. It provides financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.