Data Science Manager, Payments Optimization
Airwallex(3 months ago)
About this role
The Data Science Manager for Payments Optimization at Airwallex leads a team focused on developing advanced algorithms to enhance payment efficiency, including optimizing conversion rates, fraud risk, and transaction costs. This role requires providing technical leadership in optimization algorithms and collaborating with cross-functional teams, including Product and Engineering, to influence product strategy. The manager will also communicate complex data insights to stakeholders, aiming to drive product adoption and operational improvements in a fast-paced, high-growth environment. A background in data science and management, alongside proficiency in SQL and Python, is essential.
Required Skills
- Data Science
- Team Leadership
- Payments Optimization
- Algorithm Development
- Experimentation Techniques
- A/B Testing
- Causal Inference
- Cross-Functional Collaboration
- Technical Communication
- SQL
+6 more
Qualifications
- PhD or MS in a quantitative field such as Statistics, Engineering, Computer Science, Economics, or related disciplines
- 5+ years of industry experience in data science or applied ML
- 2+ years in a management role
- Proficient in SQL and Python
About Airwallex
www.airwallex.comAirwallex is a global payments and financial platform that empowers businesses to operate internationally with ease. It offers a range of services, including global business accounts, high-speed money transfers, multi-currency cards, and embedded finance solutions. With a focus on reducing transaction fees and providing fast, easy payment solutions, Airwallex is designed to help companies scale efficiently in the global marketplace. Its technology is tailored to meet the diverse needs of businesses, enabling seamless online payments and financial management across multiple currencies.
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