Data Scientist - AI/ML, Data Modeling & Banking

Us Bank; Atlanta (GA); On-site; USD 112,000 - 131,000; Full time

Benefits offered by this job

Healthcare

401(k) Plan

Paid vacation

Adoption assistance

Parental leave

Disability insurance

Job summary

U.S. Bank is seeking a senior data engineer/architect to design and maintain data models across mortgage origination and lending tech stacks, and to build scalable analytics pipelines.

The role emphasizes AI/ML, AI services on Azure/AWS, MLOps, governance, and collaboration with engineering teams to deliver dashboards and KPIs for executives. Applicants should have a quantitative degree and 6–8 years of experience, and a proven ability to mentor teammates in a fast-paced financial services

Qualifications

• Bachelor's degree in a quantitative field and 6–8 years of relevant experience.
• Strong expertise in AI/ML, data platforms, and data governance.

Responsibilities

• Design and maintain data models for mortgage origination, underwriting, servicing, and lending tech.
• Develop predictive analytics and AI solutions using ML and statistical methods.
• Collaborate with engineering to build scalable data solutions across cloud, data warehouse, and ETL ecosystems.
• Analyze large datasets to identify trends, efficiencies, customer behaviors, and risk indicators.
• Define data standards, metadata management, and governance processes.

Skills

Generative AI

LLM optimization

RAG frameworks

Azure AI

AWS AI Services

MLOps

Data modeling

Data governance

Mentoring

Education

Bachelor's degree in a quantitative field

Tools

Azure AI

Azure OpenAI

AWS AI Services

RAG frameworks

Job description

U.S. Bank is seeking a senior data engineer/architect to design and maintain data models across mortgage origination and lending tech stacks, and to build scalable analytics pipelines.

The role emphasizes AI/ML, AI services on Azure/AWS, MLOps, governance, and collaboration with engineering teams to deliver dashboards and KPIs for executives. Applicants should have a quantitative degree and 6–8 years of experience, and a proven ability to mentor teammates in a fast-paced financial services