Senior AI & Data Scientist — End-to-End ML Solutions

Charles Schwab Inc.; Southlake (TX); On-site; USD 180,000 - 250,000; Full time

Job summary

Charles Schwab Corporation is seeking a Senior AI & Data Scientist to advance AI capabilities across the firm. You will design, develop, and deploy innovative AI/ML solutions that address enterprise-scale challenges, bridging research and production engineering.

Collaborate with sponsors, developers, and partners to deliver high-impact models. You will lead complex initiatives in NLP, LLMs, real-time inference, and scalable architectures, ensuring governance, reliability, and value delivery in a

Qualifications

• Advanced degree in a quantitative field (MS/PhD).
• Proven experience in data science and machine learning.
• Hands-on Python and SQL for production-grade code.
• Experience delivering end-to-end ML solutions with metrics and value.
• NLP and LLM experience with production deployments.
• Strong software engineering fundamentals with CI/CD and MLOps.

Responsibilities

• Get hands-on with big data and develop AI solutions using state-of-the-art algorithms.
• Design and build end-to-end ML systems for data ingestion, modeling, deployment, and monitoring.
• Translate business strategy into technical data-science solutions aligned with roadmaps.
• Establish best practices for data science as a rigorous engineering discipline.
• Lead initiatives in areas like real-time inference and recommender systems.

Skills

Data science & ML

Python

SQL

Model deployment

NLP / LLM

CI/CD / MLOps

Communication

Education

MS/PhD in a quantitative field

Tools

TensorFlow

PyTorch

MLflow

Spark

Job description

Charles Schwab Corporation is seeking a Senior AI & Data Scientist to advance AI capabilities across the firm. You will design, develop, and deploy innovative AI/ML solutions that address enterprise-scale challenges, bridging research and production engineering.

Collaborate with sponsors, developers, and partners to deliver high-impact models. You will lead complex initiatives in NLP, LLMs, real-time inference, and scalable architectures, ensuring governance, reliability, and value delivery in a