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U.S. Bank

Data Scientist

U.S. Bank

. Design, develop, implement, validate, and maintain machine learning and predictive models supporting business objectives .

Posted 9/30/2026full-timeUnited StatesMid-LevelSenior💰 $105,400 - $124,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing, implementing, and maintaining machine learning and predictive models, with a strong focus on data analysis and statistical methods. Proficient in translating complex analytical findings into actionable business recommendations while ensuring compliance with governance and regulatory standards.

Highest-signal resume keywords
Machine Learning DevelopmentPredictive ModelingStatistical AnalysisData VisualizationCloud Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningPredictive ModelingStatistical AnalysisData VisualizationAdvanced AnalyticsData ExplorationData AnalysisModel Lifecycle ManagementData QueryingData Integration
Soft Skills
Strong Analytical SkillsCommunication SkillsProject ManagementOrganizational SkillsStakeholder Management
Tools & Technologies
PythonSQLRSASAzureDatabricksLinuxCloud PlatformsModel Validation ToolsAnalytics Tools
Industry Keywords
Financial ServicesModel GovernanceComplianceRisk ManagementBusiness Objectives

Tech Stack

Tools & technologies
AzureCloudLinuxPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, implement, validate, and maintain machine learning and predictive models supporting business objectives
  • Apply advanced analytics, statistical methods, and machine learning techniques to solve complex business challenges
  • Monitor model performance and recommend enhancements improving accuracy, effectiveness, and business value
  • Support existing analytical and predictive modeling solutions while identifying optimization and expansion opportunities
  • Gather, integrate, and analyze large volumes of structured and unstructured data from multiple sources
  • Perform data exploration, analysis, and querying to identify trends, patterns, opportunities, and risks
  • Translate analytical findings into actionable recommendations supporting business decisions
  • Present insights, model results, and recommendations to technical and non-technical audiences
  • Collaborate with business stakeholders to identify problems, prioritize opportunities, and define analytical solutions
  • Work with model validators, model risk teams, compliance partners, vendors, and technology teams throughout the model lifecycle
  • Support model governance, implementation, monitoring, and ongoing performance management
  • Support modernization of analytical environments, workflows, and processes, including cloud-based solutions
  • Contribute to migration of models, workflows, and operations into evolving cloud platforms
  • Measure and monitor results from recommendations and model deployments
  • Ensure data acquisition, usage, analysis, and reporting comply with company standards, governance requirements, and regulatory expectations

Requirements

What you’ll need
  • 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, and 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
  • Not eligible for visa sponsorship
  • Ability to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

Benefits

Comp & perks
  • 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