American Express
Manager-Data Science (New York, NY)
New York, NY · Hybrid · Manager · Full-time · Posted Nov 2, 2026
- Education
- Bachelor’s degree in quantitative fields (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics, Finance).
- Visa sponsorship
- American Express may provide visa sponsorship for certain positions, depending on factors such as business unit requirements, the nature of the position, cost and applicable laws.
About the job
Develops and scales data science, AI, and decisioning solutions that improve Global Servicing experiences and operations, from problem framing through implementation and optimization.
What you'll do
- Own defined decision science workstreams, including analysis, solution development, experimentation, measurement, and optimization.
- Develop and evaluate AI/ML and GenAI solutions for prediction, recommendation, personalization, and intelligent orchestration.
- Build reusable, production-ready decisioning capabilities with Technology and platform teams, and communicate recommendations to partners.
What they ask for
- Bachelor’s degree in a quantitative field.
- Strong hands-on foundation in data science and machine learning, including proficiency in Python, SQL, or similar tools and experience building and evaluating predictive or decisioning models.
- Experience applying AI/GenAI techniques, including solution development, experimentation, and model/AI evaluation.
- Experience owning analytical workstreams and collaborating cross-functionally to move solutions toward implementation and measurable impact.
Nice to have
- Experience with Agentic AI, transformer-based recommendation systems, Conversational AI, LLMs, or related modern AI capabilities.
- Experience in personalization, recommendation systems, next-best-action, optimization, customer decisioning, or intelligent automation.
Pay
USD $103750 - $174750 annually (base salary)
Tools
Python, SQL, Agentic AI, transformer-based recommendation systems, Conversational AI, LLMs
AI focus
Develops and evaluates AI/ML and GenAI solutions, including Agentic AI, transformer-based recommenders, and Conversational AI/LLM systems, for servicing, personalization, and decisioning.
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