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At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let’s lead the way together.
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Business Unit and Role Information
NLP/GenAI data science team seeks a Director of Data Science to focus on NLP (Natural Language Processing) and/or generative AI (GenAI) research and serve as athought-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
- Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
- Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
Minimum qualifications and skills required across role types are highlighted below:
- PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with 5+ 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 a 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.).
- Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus.
- Demonstrated 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
Salary Range: $150,000.00 to $225,000.00 annually + bonus + equity (if applicable) + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- 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
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
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.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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