Senior Data Scientist, Algorithm

Senior Data Scientist, Algorithm - Growth

Airwallex is the only unified payments and financial platform for global businesses, empowering over 200,000 businesses worldwide with integrated solutions for accounts, payments, spend management, treasury, and embedded finance.

Attributes We Value – We hire builders with founder‑like energy who want real impact, accelerated learning, and true ownership. They move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. They are humble, collaborative, and get stuff done end‑to‑end. They use AI to work smarter and solve problems faster.

Growth Data Science Team sits at the center of Airwallex’s growth engine, turning data and AI into a competitive advantage. We build advanced solutions—including predictive modeling, personalization, LLM‑powered systems, incentive optimization, and causal inference—to unlock growth across the customer lifecycle.

The Role – Senior Data Scientist to partner closely with Growth and Marketing teams, designing, deploying, and iterating high‑impact data science solutions that drive measurable business outcomes. Apply machine learning models to influence how we acquire, engage, and retain customers globally.

Why Join Now – You’ll join during a critical period, shaping the next phase of Airwallex’s growth and building a team that balances global consistency with local flexibility.

Responsibilities

• Develop predictive models to identify high‑value users for Marketing and Commercial teams.
• Apply machine learning and/or statistical models to measure causal impact of marketing initiatives.
• Develop personalization solutions to drive client onboarding efficiencies, optimize referral incentive impacts, and enable product cross‑selling.
• Develop churn models to drive growth retention strategy.
• Partner with Marketing, Commercial, Engineering, and cross‑functional teams to inform, influence, support, and execute GTM strategy and investment decisions.

Qualifications

• 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (Statistics, Engineering, Sciences, Computer Science, Economics).
• Experience communicating results of analyses to executives and cross‑functional teams to influence strategy.
• Expertise in machine learning modeling to drive data‑driven growth strategy.
• Hands‑on experience building, deploying, and maintaining machine learning models in production‑grade systems (cloud‑based services, real‑time and batch pipelines).
• Expertise in data querying languages (SQL), scripting languages (Python), and knowledge of schema design and dimensional data modeling.
• Experience in technology, financial services, and/or a high‑growth environment is advantageous.

Equal opportunity – Airwallex is a proud equal‑opportunity employer. We assess applicants based on merit, qualifications, competence, and talent. We do not consider protected status.

Compensation Range: $200K - $250K