Data Scientist at US Bank National Association
Minneapolis, MN 55402, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

124000.0

Posted On

04 Sep, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Visualization, Statistics, Computer Science, Data Mining, Financial Services, Predictive Modeling, Algorithms, Validation, Communication Skills, Project Management Skills, Analytics, Data Extraction, Learning Techniques, Predictive Analytics, Risk

Industry

Financial Services

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

Responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.

BASIC QUALIFICATIONS

  • Bachelor’s degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
  • Four to six years of relevant experience

PREFERRED SKILLS/EXPERIENCE

  • 1-3 years of relevant experience in ML model development and validation within financial services.
  • Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
  • Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
  • Experience conducting risk and compliance assessments for machine learning models in regulated environments.
  • Understanding of machine learning techniques and algorithms
  • Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
  • Demonstrated project management skills
  • Effective interpersonal, verbal and written communication skills

Tag: INDMO

  • This role offers a hybrid/flexible schedule, which means there’s an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

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.

Responsibilities

RESPONSIBILITIES

  • Works closely with cross-functional teams, including model validators, vendors, model risk officers, and business lines, to ensure effective model implementation and monitoring.
  • Partners with Model Risk management team during internal and external audits of ML models with regulatory agencies.

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 (some may vary based on role, location or hours):

  • 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 la
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