Airwallex
Airwallex
Airwallex is a fintech company building technology for global payments, treasury, and business financial operations. Its platform brings together business accounts, spend management, payment services, multi-currency transactions, foreign exchange, global transfers, and embedded finance components that businesses can use to create tailored financial products. Airwallex supports more than 150,000 businesses and focuses on secure, reliable, and compliant infrastructure for managing money across borders. Its hiring context spans teams working across financial technology, payments, finance, and the systems that support modern global commerce.

Staff Data Scientist, Growth Algorithms

Lead the development of machine learning and causal inference solutions that support Airwallex’s global growth. Work with Marketing and Growth teams to improve customer acquisition, engagement, and retention.

Description

  • Mentor data scientists and provide hands-on technical leadership to solve complex problems
  • Set the long-term vision and direction for the data science team
  • Work with Marketing, Growth Product, Engineering, and other teams on go-to-market strategy and investment decisions
  • Build and deploy predictive models, personalization and recommendation systems, LLM applications, incentive optimization frameworks, and causal inference models
  • Use machine learning and statistical methods to measure the causal impact of marketing initiatives
  • Turn data insights into recommendations that strengthen brand presence and support growth
  • Shape global strategies for customer acquisition, engagement, and retention

Requirements

  • Bring at least 7 years of industry experience
  • Hold an advanced degree (PhD or MS) in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics
  • Communicate analytical findings to leaders and cross-functional teams to influence strategy
  • Have industry experience mentoring others in machine learning and experimentation
  • Bring expert knowledge of machine learning and statistical modeling for data-driven growth strategy
  • Have hands-on experience building, deploying, and maintaining machine learning models in production systems, including cloud services and real-time and batch pipelines
  • Be highly proficient in SQL or similar data query languages and scripting languages such as Python
  • Schema design and dimensional data modeling experience is a plus
  • Experience in technology, financial services, or a high-growth environment is advantageous

Benefits

  • Equity
  • Annual bonus
  • Medical, dental, and vision insurance
  • 401(k) plan
  • Short- and long-term disability coverage
  • Basic life insurance
  • Well-being benefits
  • 20 days of paid vacation
  • 12 paid company holidays
  • Statutory minimum paid annual leave and public holidays

Related Jobs

The Aerospace Corporation

Senior Nuclear Hardness and Survivability Engineer — Chantilly, Onsite

The Aerospace Corporation
1,001 – 5,000 Employees
ConsultingDefenseManufacturing

Lead nuclear hardness and survivability assessments for satellite, payload, and missile systems at The Aerospace Corporation. Review radiation tests, model space environments, and assess requirements compliance.

Open