Jobs / United States / US Bank National Association
Data Scientist
US Bank National Association · 🇺🇸 4 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordUSCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — US Bank National Association
USCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for US Bank National Association →
About the role
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 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. What You'll Do Develop Machine Learning & Predictive Analytics Solutions • 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. Transform Data into Actionable Insights • 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. Partner Across the Enterprise • 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. Drive Modernization & Continuous Improvement • 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. Basic Qualifications • Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Data Science, or another quantitative field, or equivalent work experience • Four to six years of relevant experience Preferred Qualifications • Experience developing, implementing, validating, and maint