Data Scientist - Analytics Engineer

In this onsite role in Cincinnati, OH, you will lead the engineering efforts that enable reliable, scalable analytics. The position emphasizes building and maintaining data processes, frameworks, and tools to support predictive modeling, machine learning, and decision-making in partnership with business and technology teams.

Role Overview

You will lead initiatives to develop, monitor, and maintain 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 automating analytic product development, supporting teams through consultative partnerships to shape data strategy, introduce tools, and establish best practices.

As part of your responsibilities, you are responsible and accountable for risk through open exchange of ideas and opinions, elevating concerns when needed, and following policies and procedures as defined. You will also be accountable for actions and behaviors that support a positive customer experience, aligning outcomes with the Bank’s risk appetite by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

Key Responsibilities

• Define and implement standards for data strategy, code quality, and lifecycle management, providing 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, including integrating and extracting relevant information from structured and unstructured internal and external data.
• Develop reusable frameworks, APIs, and tools that enable analysts and data scientists to work more 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 strategy and goals into manageable problems, and formulate, communicate, and gain buy-in for solutions with well-defined, measurable outcomes.
• Produce ad hoc reporting and analytics to support requests from multiple lines of business.
• Provide input into creation of detailed project plans, work assignments, target dates, and other elements for assigned projects.

Required Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
• Typically 4 to 5 years of work experience.
• Database and analytical experience.
• Strong 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, PowerPoint).

Preferred Skills

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

Technology Stack

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

Location and Compensation

• Location: Cincinnati, OH (onsite)
• Salary: USD 82,100 - 172,500 per year