Huntington Bank is looking to build and develop its Data Science team to lead the next generation of banking by reimagining how data is used to better serve customers, support communities, and improve colleagues' lives, aiming to become the best performing Regional Bank in America.
Requirements
- 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
- Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
- Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
- Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Responsibilities
- 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
- Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
- Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s)
- Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Experience with big data analysis tools and techniques
- Experience building and deploying predictive models, web scraping, and scalable data pipelines
Other
- Prioritizes analytical projects based on business value and technological readiness
- Evangelizes best practices to analytics and products teams
- Acts as the go-to resource for machine learning across a range of business needs
- Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
- Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
- Coaches' individuals through change and serves as a role model
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Strategic, intellectually curious thinker with focus on outcomes
- Professional image with the ability to form relationships across functions
- Ability to train more junior analysts regarding day-to-day activities, as necessary
- Proven ability to lead cross-functional teams
- Financial Services background preferred
- Master’s degree or PhD in computer science, statistics, economics or related fields
