GenAI Lead Data Scientist — Hybrid Role

Norfolk Southern Corp.; Atlanta (GA); Hybrid; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

Norfolk Southern Corp. is seeking a Lead Data Scientist (GenAI) to join our enterprise AI team. You will architect and deploy GenAI solutions across the business, leveraging LLMs, RAG, and MCP to deliver scalable, secure AI capabilities that drive value.

This role partners with executives and engineering teams to align AI initiatives with strategic goals. The ideal candidate has 5+ years in GenAI/DS/ML/NLP, strong Python and ML tooling, and hands-on production experience with large language

Qualifikationen

• 5+ years of GenAI, Data Science, Machine Learning, or NLP roles.
• Extensive experience in building and deploying LLMs in production.
• Proficiency in Python with libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib.

Aufgaben

• Lead design and architecture of enterprise GenAI solutions tailored to business use cases.
• Design modular, framework-agnostic LLM pipelines using LangChain, LlamaIndex, or similar
• Define prompting strategies, agent patterns, and RAG architectures. Ensure approaches are scalable, reusable company-wide and drive adoption across teams.
• Oversee lifecycle of usecases, development to deployment to production and MLops.
• Ensure responsible AI practices, including explain ability, governance, and compliance.
• Evaluate emerging AI trends and help guide the adoption of high value innovations.
• Collaborate with cross-functional teams to understand business needs and deliver configurable, scalable solutions.

Kenntnisse

GenAI experience

Data Science

Machine Learning

NLP

Python

SQL

NoSQL

Docker

Kubernetes

CI/CD

Terraform

Ausbildung

Bachelor's degree in CS/Data Science/ML/AI

Master's or PhD preferred

Tools

Milvus

Pinecone

PGVector

LangChain

LlamaIndex

Databricks

OpenSearch

Docker

Kubernetes

Jobbeschreibung

Norfolk Southern Corp. is seeking a Lead Data Scientist (GenAI) to join our enterprise AI team. You will architect and deploy GenAI solutions across the business, leveraging LLMs, RAG, and MCP to deliver scalable, secure AI capabilities that drive value.

This role partners with executives and engineering teams to align AI initiatives with strategic goals. The ideal candidate has 5+ years in GenAI/DS/ML/NLP, strong Python and ML tooling, and hands-on production experience with large language