Senior Data Scientist

0101 The Huntington National Bank; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Huntington National Bank seeks a Senior Data Scientist to help build data infrastructure and provide insights to senior leadership.

You will design and deploy advanced analytics, run large-scale experiments, and translate results into actionable business decisions.

A Master’s in CS/ Statistics and 3+ years in ML or cloud computing are required; strong Python, R, SQL skills, and experience with cloud ML platforms (e.g., AWS Sagemaker) are essential.

Qualifications

• Master’s degree in computer science, statistics or a related field.
• 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, and scalable data pipelines.
• Experience with big data analysis tools and techniques.
• Financial services background.

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.

Skills

Machine learning

Deep learning

Statistical methods

Python programming

R programming

SQL querying

NoSQL databases

Cloud ML platforms

TensorFlow

scikit-learn

Education

Master’s Degree in computer science, statistics or related fields

Tools

R/RStudio

SAS

SQL

NoSQL

TensorFlow

scikit-learn

caret

AWS Sagemaker

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, and scalable data pipelines


• Experience with big data analysis tools and techniques


• Financial Services background


• #LI-NG1 #LI-Onsite

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

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

Workplace Type

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.

Welcome to Huntington!

At Huntington, we look out for people. From reinventing banking with game-changing innovations to building an internal culture that creates lifelong bonds, together, we can make people’s lives better. And amazing things happen when we look out for each other. We prove it every day. Whether it's helping a colleague or collaborating on a new tool that will revolutionize the way we save money, our actions can have a huge impact. Our colleagues look out for people with a Can-Do Attitude, Service Heart and Forward Thinking. Those are our values-simple but powerful. Each of them pushes us do the right thing, to do right by people. Because people are what matter. If that sounds like you, we hope you'll apply to join our team.

If you'd like to learn more about how Huntington looks out for people, visit https://www.huntington.com/lookingout

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