Senior Data Scientist
Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data Scientist to support and scale our continually expanding sponsorship portfolio. 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
Performs other duties as assigned
Basic Qualifications:
Master's degree in computer science, statistics, economics or related fields
1+ years' work and/or educational experience in machine learning or cloud computing, experience using statistics, machine learning, and AI 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 and experience with big data analysis tools and techniques.
Preferred Qualifications:
Up-to-date knowledge of machine learning, AI, 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 preferred
Exempt Status: Yes
Workplace Type: Office
Compensation Range: The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).
Huntington is an Equal Opportunity Employer.