Machine Learning Data Scientist Analyst Jobs in Chicago, IL

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 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.

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 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

Why This Role?

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.