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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in big data analytics, predictive modeling, and statistical analysis, utilizing programming languages such as Python, R, SAS, and SQL to extract and interpret complex data sets. Strong project management and communication skills facilitate collaboration and effective presentation of insights to drive data-driven decision-making.

Highest-signal resume keywords

Big Data AnalyticsPredictive ModelingStatistical AnalysisPython/R/SAS/SQLProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData MiningMachine LearningAdvanced AnalyticsData Visualization

Soft Skills

Analytic SkillsInterpersonal CommunicationVerbal CommunicationWritten Communication

Industry Keywords

Data SourcesTrends AnalysisData ComplianceStatistical Techniques

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