Data Scientist

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• Gather and prepare data for analysis/modeling, including unstructured and structured data, including:  tabular data, text, maps, images, voice, video, etc. 

• Develop data processing, model development and inference pipelines in python leveraging open source tools such as pandas and scikit-learn 

• Understand modeling algorithms and methods:  how the learning algorithms work, which ones to use for which task, and how to debug and fix them when you don’t get the outcomes you want 

• Leverage predictive modeling techniques for applications such as classification, regression and sequence modeling, including ensemble methods that combine e.g., LLM embeddings with more traditional supervised methods 

• Perform evaluations to establish the efficacy and stability/reliability of model outputs  

• Document the model development process for risk management partners who ensure what we develop will pass muster with regulators 

• Leverage web services, containers, and cloud services to deploy and manage models 

• Develop and automate robust reporting and model monitoring methods 

• Contribute to a growing codebase of reusable python code that enables us to accelerate our application of advanced analytics 

• Partner with key stakeholders to understand business needs and formulate, communicate and create buy-in for analytics approaches and solutions 

• Transform unstructured problems into structured plans, including plans for investigations and experiments to move the data science application from idea to successful implementation with progressively more convincing evidence 

• Successfully collaborate with others to bring your idea to life in production where it can positively impact millions of consumers and businesses  

• Voracious curiosity and a passion for applied statistics and data science 

• Fluent in python, pandas, scikit-learn, SQL, statistics 

• Practical experience applying AI/ML:  project work, practicum, research or job experience 

• Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, Physics (where AI/ML and predictive modeling played a central role in coursework and research);  Advanced degrees preferred but not required 

• Ability to understand and implement cutting edge methods published in conferences and journal preferred but not required  

• Excellent written and oral communications skills 

• Focus on outcomes, able to effectively manage time, independent and highly self-motivated

At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.

The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.

Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner. 

Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting.  Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third.  Any unsolicited resumes – no matter how they are submitted – will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.