Senior Data Scientist

U.S. Bank • Minneapolis, MN

8h • Hybrid

About The Position

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 We’re looking for a data science / advanced analytics professional who enjoys turning fragmented, high‑volume data into clear insights, strong models, and measurable business outcomes. You’ll work on large analytics initiatives—acquiring and integrating data from multiple sources, building predictive and statistical models, and translating results into recommendations leaders can act on. If you like combining technical depth (Python/SQL, modeling, cloud) with strong communication and cross‑functional partnership—this is a great fit.

Requirements

• Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
• Six to eight years of relevant experience
• Strong analytical foundation with experience working across large, complex datasets to identify trends, answer business questions, and inform decisions
• Hands‑on experience with advanced analytics, statistical analysis, and predictive modeling, including familiarity with core machine learning concepts
• Proficiency in Python for analysis and modeling, along with strong SQL skills across relational and non-relational data sources
• Experience with data preparation, exploratory data analysis, and model evaluation, with attention to data quality and reliability
• Ability to translate analytical findings into clear insights and recommendations, supported by effective communication and data visualization
• Comfortable working in a collaborative, cross‑functional environment, managing priorities and contributing to multiple initiatives

Nice To Haves

• Exposure to cloud‑based analytics environments (AWS and/or Azure), with interest in modern analytics capabilities including Generative AI
• Experience with data visualization tools (Power BI, Tableau, or similar) and version control (e.g., Git) is a plus

Responsibilities

• Lead large data and analytics projects that gather and integrate significant volumes of data across platforms and sources.
• Develop methods, processes, and systems to consolidate and analyze unstructured and diverse big data sources to generate insights and solutions for client services and product enhancement.
• Acquire data from multiple sources and perform analysis to answer complex business questions.
• Implement, validate, and maintain predictive and statistical models, with a focus on big data applications.
• Identify, analyze, and interpret trends/patterns in complex datasets to provide answers and recommend actions.
• Interpret data and analyze results using advanced statistical techniques and analytics tools.
• Present findings clearly and concisely, enabling stakeholders to quickly understand results, recommendations, and make data‑driven decisions.
• Collaborate with business and technical partners to prioritize requests and provide a holistic view of the analysis.
• Measure and monitor outcomes of applied recommendations and propose adjustments when needed.
• Ensure compliance with company standards for data acquisition, sharing, and the application of recommendations.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level