- Master’s degree in a quantitative field (e.g., Engineering, Computer Science,
Mathematics, Statistics, Economics).
- Technical exposure to or experience driving modern AI capabilities such as
Agentic AI/agentic workflows, transformer architectures and transformer-based recommendation systems, Conversational AI, LLMs, and advanced personalization or next-best-action systems.
- Strong understanding of the end-to-end Decision Science and AI lifecycle,
including experimentation, model/AI evaluation, decision logic and orchestration, productionization, monitoring, governance, and continuous optimization.
- Track record of building scalable data products, recommendation/decisioning
systems, or AI-driven capabilities with measurable customer, revenue, productivity, cost, or control outcomes.
- Experience driving transformation from traditional analytics toward
AI-powered, productized Decision Science capabilities and reusable enterprise solutions.
At American Express, our culture is built on a 175-year history of innovation, shared values [https://www.americanexpress.com/en-us/company/who-we-are/]and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability
