Senior Associate Data Scientist, US Card (Applied GenAI)

What you'll do

• Apply expertise in unstructured text and image data to harness open-source large language models and visual language models.
• Build machine learning and NLP models through all phases of development, including design, training, evaluation, and validation.
• Automate workflows using a broad tech stack including LangGraph, LlamaIndex, Hugging Face, PyTorch, and AWS.
• Partner with engineering teams to operationalize models into scalable and resilient production systems for millions of customers.
• Assess GenAI application architectures and define requirements for AI observability, traceability, and system audit trails.
• Oversee the development of continuous monitoring controls to ensure non-deterministic AI outputs remain within risk appetite.
• Guide annotators to curate high-quality, consistent datasets for model training, evaluation, and ongoing AI monitoring.

What we're looking for

• Must have a Bachelor's degree in a quantitative field plus 2 years of data analytics experience or a Master's degree in a quantitative field.
• Must have experience building machine learning and NLP models through all phases of development, including training, evaluation, and validation.
• Must have experience retrieving, combining, and analyzing data from a variety of sources and structures.
• Must have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Must have experience with open-source languages and developing data science solutions using cloud computing platforms.
• Must have experience with unstructured data (text, image) to harness large language models (LLMs) and visual language models (VLMs).
• Master’s Degree in a STEM field or a PhD in a STEM field (preferred).
• At least 2 years of experience with Python, Scala, or R, SQL, and AI/ML tools like LangGraph, LlamaIndex, or PyTorch (preferred).