Data Scientist

Location: Lee's Summit

## Data Scientist Apply locations:
Earth City, MOtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 20, 2026 (6 days left to apply) job requisition :
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.##
** Job Description**## Responsibilities
* Design and maintain conceptual, logical, and physical data models supporting mortgage origination, underwriting, servicing, and lending technology platforms.
* Develop predictive and prescriptive analytics solutions utilizing machine learning, statistical modeling, and AI techniques.
* Collaborate with engineering teams to build scalable data solutions across cloud, data warehouse, and ETL ecosystems.
* Analyze large and complex datasets to identify business trends, operational efficiencies, customer behaviors, and risk indicators.
* Define enterprise data standards, metadata management practices, and data governance processes.
* Build data pipelines, feature engineering frameworks, and analytical datasets supporting reporting and advanced analytics use cases.
* Partner with business stakeholders to translate lending and mortgage business requirements into scalable data models and actionable insights.
* Develop dashboards, KPIs, data visualizations, and executive reporting solutions for operational and strategic decision-making.
* Ensure data quality, integrity, lineage, and compliance with regulatory and security requirements.
* Support modernization initiatives involving cloud platforms, real-time analytics, and enterprise data architecture.
** Basic Qualifications**  - Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience  - Six to eight years of relevant experience    
** Preferred Skills/Experience*** +
** Experience with Generative AI, Prompt Engineering, and LLM optimization.**  +
** Knowledge of Retrieval-Augmented Generation (RAG) frameworks.**  +
** Experience with Azure AI, Azure OpenAI, AWS AI Services, or related cloud AI platforms.**  +
** Experience with MLOps and model lifecycle management.**  + Financial Services or Mortgage industry experience.  + Experience leading technical initiatives and mentoring team members.  +
** Expertise in Machine Learning and Artificial Intelligence.**  +
** Experience working with LLMs and Generative AI technologies.**  + Strong collaboration and leadership skills.  + Ability to adapt in a fast-paced, evolving environment.  + Ownership mindset with a passion for innovation and continuous learning.
** Location expectations
** This role requires working from a U.S. Bank location three (3) or more days per week.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
** Benefits:
** Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
* Healthcare (medical, dental, vision)
* Basic term and optional term life insurance
* Short-term and long-term disability
* Pregnancy disability and parental leave
* 401(k) and employer-funded retirement plan
* Paid vacation (from two to five weeks depending on salary grade and tenure)
* Up to 11 paid holiday opportunities
* Adoption assistance
* Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law Review our full benefits available by employment status…