Data Scientist (Multiple openings) in Minneapolis, MN.

U.S. Bank National Association•Minneapolis, MN

2d•$142,230 - $155,000•Onsite

About The Position

U.S. Bank is seeking a full-time Data Scientist (Multiple openings) in Minneapolis, MN. 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.

Requirements

Bachelor’s degree or equivalent in Computer Science or Computer Engineering and 5 years (progressive, post-baccalaureate) experience in a software engineering or data science occupation.
24 months of experience with: Extract, collect, and organize complex datasets using SAS and SQL, and harvest publicly available data through Python-based web scraping.
24 months of experience with: Build predictive and machine learning models, perform data mining, and develop visualizations that translate large-scale data into actionable insights and business outcomes.
24 months of experience with: Work with Python, R, SAS, and SQL to perform large-scale data extraction.
24 months of experience with: Interpret data and analytical results using advanced statistical techniques (regression, correlation, clustering, hypothesis testing).
24 months of experience with: Leverage AI platforms, including DataRobot, to support data-driven decision making.

Responsibilities

Responsible for delivering big data/analytics projects by collecting, cleaning, and pre-processing large-scale structured and unstructured datasets from multiple internal and external sources to ensure high-quality data for downstream analysis and model development.
Extract, collect, and organize complex datasets using SAS and SQL, and harvesting publicly available data through Python-based web scraping.
Perform Exploratory Data Analysis (EDA) using statistical methods to identify, analyze, and interpret trends or patterns in complex data.
Address related business questions and provide actionable recommendations.
Develop, build, and implement predictive and statistical models, machine learning algorithms, and data mining techniques to generate insights and solutions on big data for client services and product enhancement.
Build scalable, efficient, production-ready solutions, including model deployment, monitoring, and continuous improvement for banking applications.
Interpret data and analytical results using advanced statistical techniques (regression, correlation, clustering, hypothesis testing).
Collaborate cross-functionally with product, customer experience, risk, compliance, and business teams to deliver data-driven solutions and communicate insights clearly.
Present work to technical and non-technical stakeholders through clear storytelling, visualizations, and executive-ready summaries.
Ensure all data acquisition, solutions and recommendations adhere to company’s security, privacy, and compliance standards.

Benefits

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
incentive and recognition programs
equity stock purchase
401(k) contribution and pension