Sr. Data Scientist, Advanced Analytics and Insights

Huntington National Bank•Columbus, OH

2d•Onsite

About The Position

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.

Requirements

Master’s Degree in computer science, statistics, economics or related fields
3+ years of work and/or educational experience in machine learning or cloud computing
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.

Nice To Haves

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
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 the ability to form relationships across functions
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
Financial Services background

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.
Performs other duties as assigned.