Senior Data Scientist - Marketing Sponsorships

Overview

Our Enterprise Data and Analytics team is growing, and we’re seeking an outstanding Senior Data Scientist to support and scale our continually expanding sponsorship portfolio. At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve. Our goal is to be the best performing regional bank in America, and we need data and analytics to meet that goal.

We want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization’s data infrastructure and supports senior leadership with insights, management reports, and analysis for decision‑making processes.

• 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 techniques and tools in machine learning, deep learning, and 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 product teams.
• Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, to production scoring.
• Performs other duties as assigned.

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

• Up‑to‑date knowledge of machine learning, AI, 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, No
  
  SQL.
• Strong experience with cloud machine learning technologies (e.g., AWS Sage Maker).
• Strong experience with machine learning environments (e.g., Tensor Flow, 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 preferred.

Compensation Range: $70,000‑$140,000 annually. The range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on factors including location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.

Benefits:
Health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off, and additional incentive compensation.

Exempt Status:
Yes. Workplace Type:
Office. Certain positions outside our branch network may be eligible for a flexible work arrangement, combining in‑office and work‑from‑home arrangements.

Huntington is an Equal Opportunity Employer.