Data Scientist

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.

At U.S. Bank, we're committed to helping our clients and communities thrive by making smarter financial decisions and delivering exceptional experiences. Behind every great decision is insightful data, advanced analytics, and the people who know how to turn information into action.

We're looking for a Data Scientist who is passionate about solving complex business problems through data, analytics, and machine learning. In this role, you'll partner with business stakeholders to identify opportunities, develop predictive solutions, and deliver insights that influence strategic decisions across the organization.

If you're energized by building machine learning models, solving complex analytical challenges, and translating technical findings into meaningful business outcomes, we'd love to connect with you.

• Design, develop, implement, validate, and maintain machine learning and predictive models that support business objectives.
• Apply advanced analytics, statistical methods, and machine learning techniques to solve complex business challenges.
• Continuously monitor model performance and recommend enhancements that improve accuracy, effectiveness, and business value.
• Support and maintain existing analytical and predictive modeling solutions while identifying opportunities for optimization and expansion.
• Gather, integrate, and analyze large volumes of structured and unstructured data from multiple sources.
• Perform data exploration, analysis, and querying to identify meaningful trends, patterns, opportunities, and risks.
• Translate complex analytical findings into actionable recommendations that support business decision-making.
• Present insights, model results, and recommendations to both technical and non-technical audiences.

• Collaborate with business stakeholders to identify business problems, prioritize opportunities, and define analytical solutions.
• Work closely with model validators, model risk teams, compliance partners, vendors, and technology teams throughout the model lifecycle.
• Provide a holistic view of analytical findings by connecting data, business context, and organizational objectives.
• Support model governance, implementation, monitoring, and ongoing performance management activities.
• Support initiatives focused on modernizing analytical environments, workflows, and processes, including cloud-based solutions.
• Contribute to the migration of models, workflows, and operations into evolving cloud platforms.
• Measure and monitor results from implemented recommendations and model deployments.
• Ensure all data acquisition, usage, analysis, and reporting activities comply with company standards, governance requirements, and regulatory expectations.

Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Data Science, or another quantitative field, or equivalent work experience

• Experience developing, implementing, validating, and maintaining machine learning and predictive models, preferably within financial services
• Strong analytical skills with the ability to extract, organize, analyze, and interpret complex data sets

• Proficiency with Python, SQL, R, SAS, or similar tools used for analytics, model development, and data extraction
• Experience working with large, diverse, and complex data environments
• Work experience with Azure, Databricks, cloud technologies, Linux, or related modern data…