Data Scientist - Analytics Engineer

Fifth Third Bank • Cincinnati, OH

2d • $82,100 - $172,500

About The Position

Leads the development, monitoring, and maintenance of processes, frameworks, and tools that provide reliable, scalable support for advanced analytics, predictive modeling, machine learning, and decision-making. Focuses on engineering data products and automating processes that enable analytic product development. Partners consultatively with business and technology teams to define data strategy, explore tools, establish best practices, and build technical capabilities across the team.

The role is accountable for managing risk, following bank policies and procedures, and supporting positive customer and colleague experiences. It also involves defining data and code standards, building and maintaining complex data sets, developing reusable frameworks and tools, automating fragmented processes, translating business goals into measurable solutions, producing reporting and analytics, and contributing to project planning.

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.
• Ability to communicate effectively.
• 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, complex information sets optimized for performance and reliability.
• Integrate and extract relevant information from large volumes 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 communicate solutions with well-defined, 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 following applicable policies and procedures.

Benefits

• Comprehensive benefits programs supporting physical, financial, emotional, and social well-being.
• Eligible to participate in an incentive compensation plan; payment is based on company, line-of-business, and/or individual performance.

What This Job Offers

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