Senior Data Scientist

Huntington Bank; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Huntington Bank is seeking a data scientist to build and scale data capabilities in an onsite role in Columbus, OH. You will work on advanced analytics, experimentation, model development, and production scoring, shaping a roadmap for data as a corporate asset.

The role emphasizes working with senior leadership, developing data pipelines, and collaborating with product teams to deliver data-based insights and recommendations across the organization.

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 using advanced statistical software.
• Experience with scripting languages and packages.
• Experience building and deploying predictive models.
• Experience with web scraping.
• Experience working with scalable data pipelines.
• Experience with big data analysis tools and techniques.

Responsibilities

• Apply advanced analytics techniques to extract actionable value from business data.
• Design and run large-scale experimentation and build data-driven models.
• Research machine learning, deep learning, and AI methods and tooling.
• Define requirements to train, improve, and evolve deep learning models.
• Develop a roadmap for expanding data exploitation across the organization.
• Support product teams with data-based recommendations through presentations and analysis.
• Share analytics and product best practices.
• Own the full model development lifecycle and production scoring.
• Perform other duties as assigned.

Skills

Machine learning

Cloud computing

Statistical analysis

Scripting

Predictive modeling

Web scraping

Data pipelines

Big data

R

Python

SQL

NoSQL

AWS Sagemaker

TensorFlow

scikit-learn

caret

Education

Master’s degree

Tools

R

RStudio

Python

SAS

SQL

NoSQL

AWS Sagemaker

TensorFlow

scikit-learn

caret

Job description

Build and scale data capabilities with Huntington Bank in an onsite role in Columbus, OH. This position helps strengthen the organization’s data infrastructure while supporting senior leadership with analysis, management reporting, and insights that inform decisions. You will work on advanced analytics, experimentation, model development, and production scoring, with the opportunity to shape a roadmap for using data as a valued corporate asset.

Responsibilities

• Apply advanced analytics techniques to extract actionable value from business data.
• Design and run large-scale experimentation and build data-driven models to address business questions.
• Research and evaluate cutting-edge machine learning, deep learning, and AI methods and tooling.
• Define requirements used to train, improve, and evolve deep learning models and algorithms.
• Develop and communicate a vision and roadmap for expanding data exploitation across the organization.
• Support product teams with data-based recommendations through presentations and clear analysis.
• Share and promote analytics and product best practices.
• Own the full model development lifecycle: identify business requirements, source data, fit models, present results, and deliver production scoring.
• Perform other duties as assigned.

Requirements

• 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 using advanced statistical software.
• Experience with scripting languages and packages.
• Experience building and deploying predictive models.
• Experience with web scraping.
• Experience working with scalable data pipelines.
• Experience with big data analysis tools and techniques.

Technologies

• R, RStudio, Python, SAS, SQL
• NoSQL
• AWS Sagemaker
• TensorFlow, scikit-learn
• caret

Preferred Qualifications

• Up-to-date knowledge of machine learning and data analytics tools and techniques.
• Strong predictive modeling methodology.
• Experience leveraging both structured and unstructured data sources.
• Willingness and ability to learn new technologies on the job.
• Ability to communicate complex results to both technical and non-technical audiences.
• Ability to work effectively in teams and independently across multiple tasks while meeting aggressive timelines.
• Strategic, intellectually curious approach focused on outcomes.
• Professional image and ability to build relationships across functions.
• Strong experience with R/RStudio, Python, SAS, SQL, NoSQL.
• Strong experience with cloud machine learning technologies (for example, AWS Sagemaker).
• Strong experience with machine learning environments (for example, TensorFlow, scikit-learn, caret).
• Strong understanding of statistical methods, including Bayesian Networks Inference, linear and non-linear regression, hierarchical models, and hierarchical/mixed models or multi-level modeling.
• Financial Services background.

Exempt status: Yes

Workplace type: Office (onsite)