Analyst-Data Science

AI Cloud data science team seeks a Analyst Data Science to focus on AI/ML 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 AI Cloud 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 AI/ML solutions, which will be used to improve customer experiences of our business product. You will have the opportunity to deep-dive into latest AI/ML research, Google Cloud Capabilities like Big Query, Compute optimizations, GPU Computing and leverage latest GenAI frameworks/architectures in one of the most dynamic and challenging fields in machine learning.

Responsibilities

·       Build AI/ML solutions to deeply understand customers’ needs as well as unique subtleties to enable personalized responses.

·       Research latest AI/ML 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

·     B.Tech with 0-2 years of experience leveraging sophisticated analytical and machine learning techniques.

·     Familiarity with modern AI/ML 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.).

·     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 work effectively in a team environment

·     Strong communication skills

·     Ability to learn quickly and work independently with sophisticated, unstructured initiatives

·     Ability to integrate with cross-functional business partners worldwide