Data Scientist - Analytics Engineer

Fifth Third Bank; Cincinnati (OH); On-site; USD 82,000 - 173,000; Full time

Job summary

Fifth Third Bank in Cincinnati, OH is hiring for an onsite role leading the development of scalable data capabilities for advanced analytics, predictive modeling, and machine learning. You will drive data standards, APIs, and automated solutions to deliver measurable outcomes across lines of business.

Requirements include a Bachelor's degree and typically 4–5 years of relevant experience. Proficiency in Python, dbt, SQL, and SAS is preferred, with strong communication and collaboration skills.

Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, CS, IT, or related field.
• Typically 4–5 years of relevant work experience.
• Experience with data engineering and analytics tools preferred.
• Proficiency in Python, SQL, and SAS preferred but not required.
• Strong written and verbal communication skills.

Responsibilities

• Define and implement standards for data strategy, code quality, and lifecycle management.
• Design, build, and maintain large, complex information sets optimized for performance and reliability.
• Create reusable frameworks, APIs, and tools for analysts and data scientists.
• Convert ad hoc, manual processes into automated, reliable, deployable solutions.
• Partner with stakeholders to translate business needs into measurable outcomes.
• Deliver ad hoc reporting and analytics for various lines of business.
• Provide input into detailed project plans and timelines.

Skills

Communication

Time management

Independence

Self-motivation

Education

Bachelor's degree

Advanced degree preferred

Tools

Python

dbt

SQL

SAS

Microsoft Office

Job description

At Fifth Third Bank, this onsite role supports teams building reliable, scalable data capabilities for advanced analytics, predictive modeling, and machine learning. You will lead the development and maintenance of processes, frameworks, and tools that help turn analytics into dependable, repeatable data products. The work includes partnering with business and technology teams to automate analytic product development, strengthen code quality and lifecycle management, and enable measurable outcomes across lines of business.

This position is based in Cincinnati, OH and offers a salary range of USD 82,100 to 172,500 per year. The role typically requires 4-5 years of experience and a Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.

What you’ll do

• Define and implement standards for data strategy, code quality, and lifecycle management, providing technical guidance and mentorship for automation, data engineering, and best practices.
• Design, build, and maintain large and complex information sets optimized for performance and reliability, integrating and extracting relevant signals from structured and unstructured internal and external data.
• Create reusable frameworks, APIs, and tools that help analysts and data scientists work efficiently.
• Identify ad hoc, manual, or fragmented processes and convert them into automated, reliable, deployable solutions using modern practices.
• Partner with stakeholders to understand business needs, translate goals into manageable problems, and formulate solutions with well-defined, measurable outcomes with buy-in.
• Deliver ad hoc reporting and analytics in response to requests from various lines of business.
• Provide input into detailed project plans, work assignments, target dates, and other project details.

What you bring

• A Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
• Advanced degrees preferred, but not required.
• Typically minimum 4-5 years of relevant work experience.
• Database and analytical experience, with proficiency in Python, dbt, SQL, and SAS preferred (not required).
• Excellent written and oral communication skills.
• Strong ability to manage time, remain independent, and stay highly self-motivated.
• Strong PC skills including Microsoft Office (Word, Excel, Access, PowerPoint).

Tools and technologies

Python, dbt, SQL, SAS, and Microsoft Office (Word, Excel, Access, PowerPoint).

Risk and customer focus

In this role, you will be responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and following policies and procedures. You are expected to consistently support the right actions for customers and colleagues, and to identify, assess, manage, monitor, and report risks within the Bank’s risk appetite.