Lead AI Scientist — ML, NLP & LLMs (Hybrid/Remote)

Huntington National Bank

Columbus (OH)

Hybrid

USD 140.000 - 200.000

Vollzeit

vor 27 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health insurance
PTO & holidays

Zusammenfassung

Huntington National Bank is seeking a Lead Data Scientist to design, develop, and deploy AI/ML solutions spanning on‑premise and AWS environments. You will lead end‑to‑end projects, mentor teams, and drive decision‑making through advanced analytics and NLP.

The role requires a Master’s degree plus 5+ years of experience in statistics and machine learning, with preferred PhD and strong Python, Spark, LangChain, and LLM expertise. A hybrid work setup is available.

Qualifikationen

  • Master’s degree in computer science, statistics, economics or related field.
  • 5+ years of experience solving complex business problems with statistics and machine learning; experience with big data analysis tools, building and deploying predictive models.

Aufgaben

  • Collaborate with Product Owner to manage end‑to‑end AI development lifecycle across on‑premises and AWS environments.
  • Demonstrate ownership, communicate with leadership, surface risks and blockers for timely delivery.
  • Apply automation to streamline processes and develop reusable, scalable self‑service tools.
  • Stay current with ML, cloud and AI technologies, integrating new capabilities into workflows.

Kenntnisse

Python
Spark
LangChain
LLMs
Prompt engineering
Vector databases
Embeddings
RAG methods
Bedrock

Ausbildung

Master’s degree in CS/Statistics/Economics
PhD in Statistics/Economics/Data Science

Tools

LangChain
Textract
Bedrock
JumpStart

Jobbeschreibung

Huntington National Bank is seeking a Lead Data Scientist to design, develop, and deploy AI/ML solutions spanning on‑premise and AWS environments. You will lead end‑to‑end projects, mentor teams, and drive decision‑making through advanced analytics and NLP.

The role requires a Master’s degree plus 5+ years of experience in statistics and machine learning, with preferred PhD and strong Python, Spark, LangChain, and LLM expertise. A hybrid work setup is available.

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