Data Science Manager

Huntington National Bank•Columbus, OH

1d•Hybrid

About The Position

As we grow our data science and analytics team, we need a Data Science Manager to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. We are looking for a manager who has a passion for developing others, driving change, and continuously improving and evolving the application of technologies to meet todays and tomorrow’s challenges. You will lead a team of Data Scientists who are responsible for building and deploying Data Science for some of Huntington's most valuable and most challenging data-driven projects.

Requirements

Master’s degree in computer science, statistics, economics or related fields
10+ years of experience in strategy, management consulting, or similar skillset, experience working with analytics, and technical leadership and management experience on data-centric products
Hands-on manager with a proven track record of leading and growing successful data teams

Nice To Haves

PhD in computer science, statistics, economics or related fields
Ability to foster an inclusive and innovative working environment
Demonstrated negotiation, influencing, partnership & presentation/communication skills
Ability to understand business challenges and translate them into value added, data driven solutions
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
Experience conducting statistical analysis
Experience with big data analysis tools and techniques
Experience building and deploying predictive models, web scraping, and scalable data pipelines
Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (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)
Expert 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

Sets the strategy and tone for the data science strategy and vision for the future.
Prioritizes analytical projects based on business value and technological readiness.
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization.
Identifies the roles, skills, and knowledge required to achieve organizational goals, and forecasts new skill requirements.
Leads the evaluation of tools with key stakeholders across varying management levels to prioritize analytics use cases and requests and maintain the overall book of work.
Plans and ensures the execution of work, and achievement of team goals.
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s).
Coaches' individuals through change and serves as a role model.
Performs other duties as assigned.