Lead Data Scientist - Machine Learning

Huntington Bank is building AI capabilities through its AI Center of Excellence, bringing modern machine learning from prototype to production across both on-premises and AWS. In this onsite role in Columbus, OH
, you will lead end-to-end AI lifecycle work while partnering closely with Product to deliver scalable, automated AI/ML solutions.

• Partner with the Product Owner to drive the full AI development lifecycle, including requirements gathering, data sourcing, model development, proof-of-concept demonstrations, risk governance reviews, and production deployment.
• Deliver outcomes across on-premises and AWS environments
  , ensuring work progresses from experimentation to reliable deployment.
• Maintain strong project ownership through clear communication with leadership, proactive identification of risks and blockers, and escalation for managerial guidance when needed to support timely delivery.
• Use automation techniques to reduce manual effort, improve productivity and accuracy, and build reusable, scalable self-service tools and assets.
• Stay current on emerging machine learning, cloud, and AI technologies, evaluating new capabilities and integrating them into existing workflows and products.

• Master’s degree in computer science, statistics, economics, or a related field.
• 5+ years of experience applying statistics and machine learning to solve complex business problems.
• Experience conducting statistical analysis using advanced statistical software and working knowledge of scripting languages and packages
  .
• Experience with big data analysis tools and techniques
  , including building and deploying predictive models
  , web scraping
  , and scalable data pipelines
  .

You’ll work with a modern AI stack, including Python
, R,
Spark
, and AWS
, as well as LLM and RAG tooling such as Llama
, Claude
, Titan
, Lang Chain
, vector databases, embeddings, and prompt engineering. The role also involves methods like Retrieval-Augmented Generation (RAG) with MMR
, multi-vector retrieval
, RAG-fusion
, HYDE
, and self-RAG
, along with retrieval evaluation frameworks
. You will also support Agentic AI capabilities, including task orchestration, multi-agent collaboration, and tool-use agents, using AWS services such as Bedrock
, Jump Start
, and Textract
.

• Health insurance coverage
• Wellness program
• Life and disability insurance
• Retirement savings plan
• Paid leave programs
• Paid holidays
• Paid time off (PTO)