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Staff Data Scientist, Algorithm (Payments Fraud & Optimization)

Airwallex· Product
Apply on company site
SG - SingaporeFull-timePosted 6mo ago

About the role

Staff Data Scientist role focusing on designing and implementing advanced optimization algorithms to improve payments performance, fraud risk management, and cost efficiency. IC role partnering with Product, Engineering, and Commercial teams, with mentorship responsibilities.

Responsibilities

  • Define and drive the technical strategy for multi-objective payments optimization to optimize payment conversion rates, fraud risk, and transaction costs.
  • Act as the technical owner on cross-functional initiatives solving complex problems with broad business impact.
  • Provide technical thought leadership on optimization algorithms (e.g. contextual bandits) and experimentation techniques (e.g. A/B testing, causal inference).
  • Collaborate with engineering to design/build tools and infrastructure for optimization at scale and deploy ML systems to production.
  • Partner with Product, Engineering, Risk, and cross-functional teams to inform product strategy and investment decisions.
  • Communicate complex data insights and technical recommendations to technical and non-technical audiences to influence stakeholders.
  • Mentor and coach junior data scientists and engineers.

Qualifications

  • Advanced degree (PhD or MS) in Statistics, Engineering, Computer Science, Economics, or related quantitative field.
  • 5+ years of industry experience in data science or applied ML.
  • Proven experience in experimentation and causal inference to drive data-informed product decisions with measurable impact.
  • Strong experience deploying ML systems to production (preferred).
  • Demonstrated ability to lead technically, defining/developing critical systems and influencing product strategy in high-growth environments.
  • Proficient in SQL and Python/R.
  • Experience using LLM, AI and Agent to improve processes and ML models.

Skills

Required:Multi-objective optimizationExperimentation and causal inferenceTechnical leadershipSQLPython/R
Nice to have:Production ML deploymentLLM/AI/Agent tooling
Last updated Oct 7, 2026. Interested? Apply on the company site.
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