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.

What you’ll work on

• 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.

Required qualifications

• 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 .

Technologies you’ll use

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 , LangChain , 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 , JumpStart , and Textract .

Benefits

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