Huntington's Enterprise Data and Analytics team is looking to leverage machine learning, segmentation, and statistical inference on huge data sets to improve how they understand their customers and the communities they serve, with the goal of becoming the Best performing Regional Bank in America.
Requirements
- 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, including experience with big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines.
- 1+ years experience statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- 1+ years experience with R, RSTudio, Python, SAS, SQL, NoSL
- 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)
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.
- Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
- Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
- Influences product teams through presentation of data-based recommendations.
Other
- Master’s degree in computer science, statistics, economics or related field
- PhD in computer science, statistics, economics or related fields
- Willingness and ability to learn new technologies on the job
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Strategic, intellectually curious thinker with focus on outcomes
