U.S. Bancorp

Data Scientist (Multiple openings) in Minneapolis, MN.

$142K–$155KFull-time · Minneapolis, MN
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Mid-level · 5+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 5+ years

Skills & tools

Data AnalysisCleaningModel DevelopmentSasSQLPythonStatistical AnalysisMachine Learning

Benefits — mentioned in this posting

Equity / stockHealth, dental & visionFamily / parental leave401(k) / retirementPaid time off
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Full job description

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

U.S. Bank is seeking a full-time Data Scientist (Multiple openings) in Minneapolis, MN.

Essential Responsibilities:
  • Responsible for delivering big data/analytics projects by collecting, cleaning, and pre-processing large-scale structured and unstructured datasets from multiple internal and external sources to ensure high-quality data for downstream analysis and model development.
  • Extract, collect, and organize complex datasets using SAS and SQL, and harvesting publicly available data through Python-based web scraping.
  • Perform Exploratory Data Analysis (EDA) using statistical methods to identify, analyze, and interpret trends or patterns in complex data.
  • Address related business questions and provide actionable recommendations.
  • Develop, build, and implement predictive and statistical models, machine learning algorithms, and data mining techniques to generate insights and solutions on big data for client services and product enhancement.
  • Build scalable, efficient, production-ready solutions, including model deployment, monitoring, and continuous improvement for banking applications.
  • Interpret data and analytical results using advanced statistical techniques (regression, correlation, clustering, hypothesis testing).
  • Collaborate cross-functionally with product, customer experience, risk, compliance, and business teams to deliver data-driven solutions and communicate insights clearly.
  • Present work to technical and non-technical stakeholders through clear storytelling, visualizations, and executive-ready summaries.
  • Ensure all data acquisition, solutions and recommendations adhere to company’s security, privacy, and compliance standards.

Uses the following tools and technologies: Python, R, SAS, SQL, DataRobot.

Basic Qualifications:

This position requires a Bachelor’s degree or equivalent in Computer Science or Computer Engineering and 5 years (progressive, post-baccalaureate) experience in a software engineering or data science occupation.

Required Skills/Experience:

Must also have 24 months of experience with each of the following: 1) Extract, collect, and organize complex datasets using SAS and SQL, and harvest publicly available data through Python-based web scraping. 2) Build predictive and machine learning models, perform data mining, and develop visualizations that translate large-scale data into actionable insights and business outcomes. 3) Work with Python, R, SAS, and SQL to perform large-scale data extraction. 4) Interpret data and analytical results using advanced statistical techniques (regression, correlation, clustering, hypothesis testing). 5) Leverage AI platforms, including DataRobot, to support data-driven decision making. Employer will accept experience gained concurrently. U.S. Bank is subject to and conducts background checks consistent with the regulatory requirements applicable to our industry and operations.

  • The examination for this position may include an additional supplemental questionnaire. Improper or missing responses could affect your application.
  • This position is not eligible for visa sponsorship.

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.

Base pay range may vary if an offer is made for work in a different location. Pay Range: $142,230 - $155,000. (#LI-NDI #LI-DNI #LI-DNP #DE-DNP #IND-DNP).

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.

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