Data Scientist: III (Senior)

Huntington National Bank; North Carolina; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Huntington National Bank is seeking a Senior Data Scientist to advance the organization's data infrastructure and provide senior leadership with insights, reports, and analysis for decision making.

The role involves performing advanced analytics, building scalable predictive models, and driving data strategy across teams. Strong communication, collaboration, and knowledge of modern ML tools are essential for success.

Qualifications

• Master’s degree in CS/Statistics/Economics or related field.
• 3+ years of ML or cloud computing experience solving business problems.
• Experience building and deploying predictive models; data sourcing and production scoring.
• Experience with big data, scalable data pipelines and statistics software.

Responsibilities

• Performs advanced analytics methods to extract value from business data.
• Builds data‑driven models and conducts large‑scale experiments.
• Develops and communicates data‑driven recommendations to product teams.
• Owns the model development process from requirements to production scoring.
• Stays updated on ML/DL/AI techniques and evangelizes best practices.

Skills

Communication

Teamwork

Learning agility

Problem solving

Strategic thinking

Education

Master’s degree in computer science, statistics, economics or related fields

Tools

R/RStudio

Python

SAS

SQL

NoSQL

AWS Sagemaker

TensorFlow

scikit-learn

caret

Job description

Description

Summary:

The Senior Data Scientist contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision‑making processes.

Duties and Responsibilities:

• Performs advanced analytics methods to extract value from business data.
• Performs large‑scale experimentation and build data‑driven models to answer business questions.
• Conducts research on cutting‑edge techniques and tools in machine learning/deep learning/artificial intelligence.
• Determines requirements that will be used to train and evolve deep learning models and algorithms.
• Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
• Influences product teams through presentation of data‑based recommendations.
• Evangelizes best practices to analytics and products teams.
• Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
• Performs other duties as assigned.

Basic Qualifications:

• Master’s Degree in computer science, statistics, economics or related fields
• 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages and packages, experience building and deploying predictive models, experience web scraping, scalable data pipelines and experience with big data analysis tools and techniques.

Preferred Qualifications:

• Up‑to‑date knowledge of machine learning and data analytics tools and techniques
• Strong knowledge in predictive modeling methodology
• Experienced at leveraging both structured and unstructured data sources
• Willingness and ability to learn new technologies on the job
• Demonstrated ability to communicate complex results to technical and non‑technical audiences
• Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
• Strategic, intellectually curious thinker with focus on outcomes
• Professional image with the ability to form relationships across functions
• Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
• Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
• Strong experience with machine learning environments (e.g., TensorFlow, scikit‑learn, caret)
• Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non‑linear regression, hierarchical, mixed models/multi‑level modeling
• Financial Services background

Exempt Status: (Yes= not eligible for overtime pay) ( No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain 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.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.