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Staff Data Scientist, Algorithm (Fintech)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Staff Data Scientist, Algorithm (Fintech): Designing and implementing advanced algorithms to optimize payment conversion rates, fraud risk, and transaction costs with an accent on multi-objective optimization and ML productionization. Focus on implementing contextual bandits, causal inference, and A/B testing to drive product adoption and payment performance.

Location: Singapore

Company

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.

What you will do

  • Define and drive the technical strategy for multi-objective payments optimization (conversion, fraud risk, and cost).
  • Act as the technical owner for complex cross-functional initiatives with broad business impact.
  • Provide leadership on optimization algorithms, such as contextual bandits, and experimentation techniques like causal inference.
  • Collaborate with engineering to design and deploy scalable ML systems and infrastructure to production.
  • Influence product strategy and investment decisions by communicating complex data insights to stakeholders.
  • Mentor and coach junior data scientists and engineers.

Requirements

  • Advanced degree (PhD or MS) in Statistics, Engineering, Computer Science, Economics, or a related quantitative field.
  • 5+ years of industry experience in data science or applied machine learning.
  • Proven experience in experimentation and causal inference to drive product decisions.
  • Proficiency in SQL and Python/R.
  • Experience using LLMs, AI, and Agents to improve processes and ML models.
  • Must be based in Singapore

Nice to have

  • Strong experience in deploying ML systems to production.

Culture & Benefits

  • Opportunity to work on high-impact problems directly influencing business outcomes.
  • Collaboration within a talented, cross-functional team in a high-growth environment.
  • Ability to drive the adoption of advanced data science techniques at scale.

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