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U.S. Bank

Senior Data Scientist

U.S. Bank

Senior Data Scientist responsible for big data/analytics projects at U.S. Bank.

Posted 6/30/2026full-timeNew York City • California, Colorado, Illinois, Minnesota, New York • 🇺🇸 United StatesSenior💰 $132,260 - $155,600 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 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
  • 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

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data ExtractionData MiningMachine LearningAdvanced AnalyticsData Visualization
Soft Skills
Analytic SkillsInterpersonal CommunicationVerbal CommunicationWritten Communication