Senior Data Scientist - 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.

• Perform advanced analytics methods to extract value from business data
• Perform large-scale experimentation and build data-driven models to answer business questions
• Conduct research on cutting-edge techniques and tools in machine learning, deep learning, and artificial intelligence
• Determine requirements that will be used to train and evolve deep learning models and algorithms
• Articulate a vision and roadmap for the exploitation of data as a valued corporate asset
• Influence product teams through presentation of data-based recommendations
• Evangelize best practices to analytics and product teams
• Own the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring

• 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 in scripting languages and packages, experience building and deploying predictive models, experience in web scraping, scalable data pipelines, and 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 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

Yes (not eligible for overtime pay)

Office. 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.

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer.