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
- experience using statistics and machine learning to solve complex business problems
- experience conducting statistical analysis with advanced statistical software
- experience scripting languages, and packages
- experience building and deploying predictive models
- experience web scraping, and scalable data pipelines
- experience with big data analysis tools and techniques
- Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
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, or economics
- 3+ years of work and/or educational experience in machine learning or cloud computing
- 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
