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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** U.S. Bank, National Association - **Location:** Minneapolis, MN, United States - **Experience:** Experienced - **Salary:** $105,400.0 - $124,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Cloud Computing, Data Infrastructure, Data Mining, Data Visualization, Linux, R (Programming Language), Python (Programming Language), Machine Learning, SAS (Software), SQL Databases, Unstructured Data, Information Technology, Data Analytics, Databricks - **Published:** September 3, 2026 - **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Minneapolis-MN/Data-Scientist_2026-0026449 ## About the Role * 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 ## Description * 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. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Intelligent Automation using Machine Learning](https://www.wearedevelopers.com/videos/157-intelligent-automation-using-machine-learning) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)