Data Scientist - Analytics Engineer

Fifth Third Bank • Cincinnati, OH

12h

About The Position

The Data Scientist - Analytics Engineer leads the development, monitoring, and maintenance of processes, frameworks, and tools that ensure reliability and scalability for advanced analytics, predictive modeling, machine learning, and decision-making. The role focuses on engineering data products and implementing automated processes that support analytic product development. It partners with business and technology teams to define data strategy, evaluate tools, establish best practices, and enable technical capabilities across the team.

The position is accountable for managing risk in accordance with the Bank’s policies and risk appetite, and for actions that support positive experiences for customers and colleagues. It also provides technical guidance and mentorship, builds reusable capabilities for analysts and data scientists, and delivers reporting and analytics for the Bank’s lines of business.

The position is based in Cincinnati, Ohio. The stated annual base-pay range is $82,100–$172,500. The role may also participate in an incentive compensation plan based on company, line-of-business, and/or individual performance. Fifth Third describes its benefits programs as supporting employees’ and families’ physical, financial, emotional, and social well-being.

Requirements

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
• Typically requires a minimum of 4–5 years of work experience.
• Database and analytical experience.
• Excellent written and oral communication skills.
• Ability to manage time effectively.
• Independent and highly self-motivated.
• Strong PC skills, including Microsoft Office (Word, Excel, Access, and PowerPoint).

Nice To Haves

• Advanced degree (preferred, but not required).
• Proficiency in Python, dbt, SQL, and SAS (preferred, but not required).

Responsibilities

• Define and implement standards for data strategy, code quality, and lifecycle management.
• Provide technical guidance and mentorship on automation, data engineering, and best practices.
• Design, build, and maintain large and complex information sets optimized for performance and reliability.
• Integrate and extract relevant information from large amounts of structured and unstructured internal and external data to enable analytical solutions.
• Develop reusable frameworks, APIs, and tools that help analysts and data scientists work efficiently.
• Identify ad hoc, manual, or fragmented processes and transform them into automated, reliable, deployable solutions using modern practices.
• Partner with stakeholders to understand business needs, translate strategy and goals into manageable problems, and formulate, communicate, and gain support for solutions with measurable outcomes.
• Produce ad hoc reporting and analytics for requests from the Bank’s lines of business.
• Contribute to detailed project plans, work assignments, target dates, and other aspects of assigned projects.
• Identify, assess, manage, monitor, and report risks while operating within the Bank’s risk appetite.

Benefits

• Comprehensive benefits programs designed to support employees’ and families’ physical, financial, emotional, and social well-being.
• Eligibility to participate in an incentive compensation plan, with payments based on company, line-of-business, and/or individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior