Data Scientist

The Data Scientist will apply data science and statistical methods to deliver advanced analytics, actionable insights, and recommendations that support profitable business decisions while managing risk.

Responsibilities

• Build large, complex information sets by integrating and extracting relevant data from structured and unstructured sources (internal and external) to enable analytical solutions.
• Perform advanced analytics using predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights and develop analytical solutions aligned with business objectives.
• Develop and manage analyses and algorithms that produce actionable insights and support programs aimed at improving long-term revenue and relevance.
• Partner with key stakeholders to understand business needs and formulate, communicate, and secure buy-in for analytics approaches and solutions.
• Translate business strategy and goals into well-defined, measurable objectives and outcomes by effectively communicating and clarifying strategy.
• Convert formulated problems into experiment implementation plans by defining data sources, selecting or creating methods, algorithms, and tools, and delivering statistically valid and reliable results.
• Provide ad hoc reporting and analytics for requests from multiple lines of business.
• Contribute to detailed project planning, including work assignments, target dates, and other elements of assigned projects.

Requirements

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
• Advanced degree preferred but not required.
• Typically requires 4-5 years of work experience.
• Database and analytical experience required.
• Excellent written and oral communication skills.
• Ability to effectively manage time.
• Independent, highly self-motivated, and able to communicate effectively.
• Strong PC skills including Microsoft Office: Word, Excel, Access, PowerPoint.

Technologies

• Predictive modeling
• Machine learning
• Simulation
• Optimization
• Microsoft Office (Word, Excel, Access, PowerPoint)

Benefits

• Comprehensive benefits
• Differentiated compensation offerings
• Incentive compensation plan

General Function

• Conduct data analysis and statistical analysis, and develop algorithms and methodologies for structured and unstructured data in both on-demand and software-embedded use.
• Manage key analyses to support more profitable business decisions.
• Focus on value-added analysis and recommendations to support business growth.
• Exercise risk accountability by exchanging ideas and opinions, elevating concerns, and following policies and procedures.
• Account for doing the right thing for customers and colleagues, ensuring actions and behaviors support a positive customer experience.
• Within the Bank’s risk appetite, identify, assess, manage, monitor, and report risks of all types to achieve results.

Location: Cincinnati, OH (onsite)