Data Scientist: ML, NLP & Credit Analytics

American Express; Honolulu (HI); Remote; USD 27,552 - 41,328; Full time

Job summary

American Express is seeking a Data Scientist to lead analytics, models, and algorithms that enhance customers’ digital experiences. The role focuses on integrating business, technology, and industry best practices to deliver predictive insights across credit, fraud, and marketing domains.

You will work with enterprise data in a big-data environment, build NLP-focused solutions, and collaborate with product teams to deploy data-driven enhancements.

Qualifications

• Experience translating business needs into analytics and models.
• Strong understanding of ML methods, NLP techniques, and data pipelines.

Responsibilities

• Lead analytics, models, and algorithms to enhance customer experiences.
• Develop predictive models for credit, fraud, and marketing initiatives.
• Deploy and support models in production environments.
• Work with large-scale digital data (Web, App, API) in a big-data setting.
• Collaborate with product owners to drive data-driven product design.

Skills

Machine Learning

Big Data

NLP

Education

Bachelor's Degree in a relevant field

Job description

American Express is seeking a Data Scientist to lead analytics, models, and algorithms that enhance customers’ digital experiences. The role focuses on integrating business, technology, and industry best practices to deliver predictive insights across credit, fraud, and marketing domains.

You will work with enterprise data in a big-data environment, build NLP-focused solutions, and collaborate with product teams to deploy data-driven enhancements.