Manager-Data Science

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this 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.

How will you make an impact in this role?

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.

Business Unit and Role Information

NLP/GenAI data science team seeks a Manager Data Science to focus on NLP (Natural Language Processing) and/or generative AI (GenAI) research and serve as a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

Colleagues in NLP/GenAI data science team serve as key members of the Global Decision Science organization within Credit and Fraud Risk at American Express. This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Global Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

You will be working with a group of enthusiastic data scientists/machine learning researchers to develop end-to-end NLP/GenAI solutions, which will be used to improve customer experiences of our business product (e.g. chatbot). You will have the opportunity to deep-dive into modern large language models (LLM) and leverage latest GenAI frameworks/architectures in one of the most dynamic and challenging fields in machine learning.

Responsibilities:

• Build NLP/GenAI solutions to deeply understand customers’ needs as well as unique subtleties to enable personalized responses.

• Research latest LLM and GenAI related academic literatures and test nascent ideas which can potentially solve new business problems and enhance existing solutions

• Explore rich and massive data, including production codes, web, app, and API to discover new topics/patterns to unlock new business opportunities and drive innovation.

• Build everything from basic reports to advanced deep learning models and algos to drive better customer experience as well as improvements to the productivity of Amex Colleagues using GenAI

• Work with product owners to revolutionize the product and content design with a data-driven approach

• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.

• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information

• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Minimum Qualifications

• Bachelor’s or Master’s degree in quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with 4-6 years of experience leveraging sophisticated analytical and machine learning techniques.

  • Familiarity with modern NLP/LLM and GenAI techniques/frameworks (LangChain, LlamaIndex, etc.). Publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, COLING, etc) is a significant plus.
  • Expertise in an programming language (Python, C/C++, etc.), and experience with databases (Hive, SQL, or the equivalent).
  • Experience with modern deep learning frameworks (PyTorch, TensorFlow, JAX, etc.).

Preferred Qualifications

• Good understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus.

  • Good understanding of public cloud platforms especially Google Cloud platform would be preferable.
  • Ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.

  • Ability to work effectively in a team environment
  • Independent thinker who’s organized, has great attention to detail, and can multi-task

  • Strong communication skills
  • Ability to learn quickly and work independently with sophisticated, unstructured initiatives
  • Ability to integrate with cross-functional business partners worldwide

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 benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.