Job Description
Our Enterprise Data and Analytics team is growing, and we're looking for an outstanding Senior Data Scientist to join our team. 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.
As we advance our data science and analytics capabilities, 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 the senior leadership with insights, management reports, and analysis for decision-making processes.
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
* 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 products teams
* Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Required Skills & Experience
* Master's degree in computer science, statistics, economics or related fields
* 1-3 years' professional experience
* experience using statistics and machine learning to solve complex business problems
* experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
* Strong knowledge in predictive modeling methodology
* Experienced at leveraging both structured and unstructured data sources
* Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
* Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
* Strong experience with machine learning environments (e.g., TensorFlow, 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
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.