Senior Data Scientist - ML, Big Data & Strategic Insights

Huntington; Columbus (OH); On-site; USD 110,000 - 170,000; Full time

Job summary

Huntington in Columbus, OH is seeking a Senior Data Scientist to help build data infrastructure and deliver insights for leadership. You will lead advanced analytics, run experiments, and develop production scoring models.

Preferred candidates hold a Master’s in a quantitative field and 3+ years in ML or cloud computing, with hands-on experience in Python, R, SAS, SQL, and modern ML tools; strong communication across teams is essential.

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 scripting languages and packages, building and deploying predictive models, web scraping, and scalable data pipelines.
• Experience with big data analysis tools and techniques.

Responsibilities

• Performs advanced analytics methods to extract value from business data.
• Performs large-scale experimentation and builds data-driven models to answer business questions.
• Conducts research on cutting-edge ML/AI techniques and tools.
• Determines requirements for training and evolving deep learning models.
• Owns the model development process from business requirements to production scoring.

Skills

Analytical thinking

Team collaboration

Communication

Education

Master’s degree in CS, statistics, economics or related fields

Tools

R/RStudio

Python

SAS

SQL

NoSQL

TensorFlow

scikit-learn

caret

AWS Sagemaker

Job description

Huntington in Columbus, OH is seeking a Senior Data Scientist to help build data infrastructure and deliver insights for leadership. You will lead advanced analytics, run experiments, and develop production scoring models.

Preferred candidates hold a Master’s in a quantitative field and 3+ years in ML or cloud computing, with hands-on experience in Python, R, SAS, SQL, and modern ML tools; strong communication across teams is essential.