Data Science Manager Details

Data Science Manager

Huntington Bank - Columbus, OH

Employment Type : Full-Time

Description

Huntington Bank is making a huge investment in AI. We’re looking for a Data Science Leader to build and develop our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers, support our communities, and make our colleagues lives better. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal.

As we grow our data science and analytics team, we need a data science leader to develop experts in machine learning, natural language processing, and, large scale computing. We are looking for a leader who has a passion for developing others, driving change, and continuously improving and evolving the application of technologies to meet today’s and tomorrow’s challenges. You will lead a team responsible for building and deploying machine learning for some Huntington’s most valuable and most challenging data-driven projects.

Key Responsibilities

• Prioritize analytical projects based on business value and technological readiness
• Develop and mentor data scientist across the bank
• Set the strategy and tone for machine learning strategy and vision for the future
• Partner with data engineering, application developers, line-of-business executives, and other key stakeholders to ensure valuable work and timely delivery of AI initiatives
• Own the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
• Act as the go-to resource for machine learning across a range of business needs, from risk and fraud to marketing and pricing
• Lead team to leverage large structured and unstructured data, using modern machine learning algorithms for high-impact areas such as digital interactions, marketing, fraud, customer satisfaction, product development, and forecasting.

Basic Requirements

• PhD or master’s degree in Statistics, Economics, Data Science, or related field.
• Five years of progressive leadership experience, involving deployment of machine learning solutions and cloud computing
• Proficiency in several programming languages, including R, Python, Spark, and others

Preferred Skills and Characteristics

• Excellent written and verbal communication skills, with a proven ability to interact effectively across all organizational levels
• Practical and theoretical knowledge of data mining and machine learning techniques and statistical concepts
• Progressive thinking and problem solving, with a strong ability to manage ambiguity/complexity.
• Ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
• Experience working in a consumer-centric company with teams of technical professionals in a cross-functional environment
• Willingness to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes
• Talent for inspiring high levels of professional demeanor and integrity

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