Data Scientist - Machine Learning Focus

Huntington; Columbus, Northern (OH, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Huntington is seeking a Lead Data Scientist with deep ML/NLP expertise to design, develop, and deploy AI models that accelerate innovation and strategic decision-making. The role spans end-to-end AI lifecycle across on-premises and AWS environments, requiring collaboration with Product Owners and senior leadership.

The ideal candidate has a PhD or Master’s in a related field and at least 3 years of AWS ML experience, with strong Python skills and hands-on work with LLMs, LangChain, and modern AI

Qualifications

• PhD or Master’s degree in Statistics, Economics, Data Science, or related field.
• Minimum of 3 years related work experience in AWS cloud machine learning or a similar AI platform.
• Proficiency in Python (preferred) or R.
• Experience with Large Language Models (LLMs), LangChain, vector databases, embeddings, and prompt engineering.

Responsibilities

• Collaborate with the Product Owner to manage the end-to-end AI development lifecycle—from requirements gathering and data sourcing to model deployment across on-premises and AWS environments.
• Demonstrate strong self-discipline and professional ownership in project activities and risk management to ensure timely delivery.
• Apply automation techniques to streamline manual processes and develop reusable, scalable self-service tools and assets.
• Stay current with emerging ML, cloud, and AI technologies and evaluate new capabilities for integration into workflows and products.

Skills

Python

Spark

LLM knowledge

NLP

LangChain

Prompt engineering

Education

PhD or Master’s degree in Statistics, Economics, Data Science, or related field

Tools

AWS SageMaker

Lambda

S3

Athena

Bedrock

JumpStart

Textract

Job description

## Data Scientist - Machine Learning FocusApply: Office: Columbus, OH: Full time: Posted Today: R0075784# **Description**The AI Center of Excellence (CoE) is seeking a highly skilled Lead Data Scientist with deep expertise in modern AI technologies. The ideal candidate will apply advanced knowledge in machine learning, natural language processing, and artificial intelligence to design, develop, and deploy models that accelerate innovation and support strategic decision‐making. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcome‐focused project execution.Key Responsibilities* ## **Collaborate with the Product Owner** to manage the end‐to‐end AI development lifecycle—requirements gathering, data sourcing, model development, proof‐of‐concept demonstrations, risk governance reviews, and production deployment across both on‐premises and AWS environments.* ## **Demonstrate strong self**‐**discipline and professional ownership** in managing project activities, maintaining transparent communication with leadership, seeking managerial guidance when appropriate, and proactively surfacing risks, blockers, or resource needs to ensure timely delivery.* ## **Apply automation techniques** to streamline manual processes, enhance productivity and accuracy, and develop reusable, scalable self‐service tools and assets.* ## **Stay current with emerging machine learning, cloud, and AI technologies**, driving innovation by evaluating and integrating new capabilities into existing workflows and products.**Basic Requirements*** ## PhD or Master’s degree in Statistics, Economics, Data Science, or related field.* ## Minimum of 3 years related work experience in AWS cloud machine learning or a similar AI platforms, with familiarity in AWS Sagemaker, Lambda, S3, Athena, etc.**Preferred Skills:*** Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools.* Working knowledge of Large Language Models (Llama, Claude, Titan), including experience with frameworks such as LangChain, vector databases, embeddings, and prompt engineering.* ## Willingness to step outside traditional modeling tasks to solve broader technical or business challenges in support of team and organizational goals.* ## Hands‐on experience with LLM fine‐tuning* ## Practical understanding of advanced Retrieval‐Augmented Generation (RAG) methods such as MMR, multi‐vector retrieval, RAG‐fusion, HYDE, self‐RAG, and retrieval evaluation frameworks.* ## Knowledge and practical experience with Agentic AI and agentic workflows, including task orchestration, multi‐agent collaboration, tool‐use agents, and workflow automation patterns.* ## Hands‐on experience with advanced AWS AI/ML services such as Bedrock, JumpStart, Textract, and related ML orchestration capabilities.#LI-NG1#LI-Onsite**Exempt Status: (Yes** = not eligible for overtime pay) (**No** = eligible for overtime pay)Yes**Workplace Type:**OfficeOur Approach to **Office** Workplace TypeCertain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.