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 DescriptionWe'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 DoDevelop 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.
- 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
- Four to six years of relevant 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
- Experience with:
- Machine Learning
- Predictive Modeling
- Statistical Analysis
- Data Visualization
- Advanced Analytics
- 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 platforms
- Understanding of machine learning methodologies, algorithms, and model lifecycle management
- Experience collaborating with governance, compliance, validation, or risk management partners
- Strong communication skills with the ability to explain technical concepts to non-technical audiences
- Demonstrated project management, organizational, and stakeholder management skills
- Proven ability to collaborate effectively across business and technical teams
This role offers the opportunity to work at the intersection of data science, technology, and business strategy. You'll partner directly with business leaders, solve meaningful problems through advanced analytics, and help expand machine learning capabilities that drive measurable business impact.
Your work won't simply explain what happened. You'll help predict what comes next and influence the decisions that shape it.
NOT ELIGIBLE FOR VISA SPONSORSHIP
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 here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
Skills Required
- 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
- Experience developing, implementing, validating, and maintaining machine learning and predictive models
- Strong analytical skills with complex data extraction, organization, analysis, and interpretation
- Experience with machine learning
- Experience with predictive modeling
- Experience with statistical analysis
- Experience with data visualization
- Experience with advanced analytics
- Proficiency with Python, SQL, R, SAS, or similar analytics and modeling tools
- Experience working with large, diverse, and complex data environments
- Experience with Azure, Databricks, cloud technologies, Linux, or related modern data platforms
- Understanding of machine learning methodologies, algorithms, and model lifecycle management
- Experience collaborating with governance, compliance, validation, or risk management partners
- Strong communication skills for explaining technical concepts to non-technical audiences
- Demonstrated project management, organizational, and stakeholder management skills
- Proven ability to collaborate across business and technical teams
US Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Bank and has not been reviewed or approved by US Bank.
-
Retirement Support — The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
-
Leave & Time Off Breadth — Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
-
Healthcare Strength — Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.
US Bank Insights
What We Do
We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.
