Lead Data Scientist with Banking and Credit Card Prospecting

Bank Work Onsite 4 days per week Any of the following locations is fine: • Ohio - Akron, Cincinnati, Cincinnati, Cleveland, • Columbus (HQ) • North Carolina - Charlotte • Illinois - Chicago • Texas – Dallas, Houston, Fort Worth, Austin • Georgia – Atlanta • Tennessee - Nashville • Florida – Orlando, Tampa • Michigan - Detroit, Flint, Midland, Bloomfield Hills • Minnesota - Minnetonka • Pennsylvania - Pittsburgh • Iowa - Waterloo Needed ASAP Contract to Hire Must work on W2 to start work NO C2C Lead Data Scientist – Must have Masters, Banking with Credit Card Processing (related to credit score), Python, Large datasets, Tableau, SQL Our Enterprise Data and Analytics team is growing. We're looking for a Lead Data Scientist to assist with building and developing 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 advance our data science and analytics capabilities, we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. 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 todays and tomorrow's challenges. Responsibilities: · Prioritizes analytical projects based on business value and technological readiness • 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 • Evangelizes best practices to analytics and products teams • Acts as the go-to resource for machine learning across a range of business needs • 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 • 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