Senior Associate, Data Scientist – Credit Card Innovation

Capital One

. Partner with data scientists, software engineers, and product managers to deliver customer-focused products .

Posted 9/18/2026full-timeMcLean • Illinois • United StatesSenior💰 $123,300 - $168,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models using Python and AWS, with a strong foundation in data analytics and quantitative methods. Capable of translating complex data insights into actionable business strategies while collaborating effectively across teams.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentAWS Cloud ComputingData AnalyticsStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel ValidationBacktestingDeep LearningClusteringClassificationSentiment AnalysisTime Series AnalysisSQLConda

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

H2OSparkOpen-Source ToolsAnalytical Tools

Certifications & Qualifications

Bachelor's Degree in Quantitative FieldMaster's Degree in Quantitative FieldMBA with Quantitative Concentration

Industry Keywords

Credit DecisioningCash Flow UnderwritingReal-Time Credit Analytics

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with data scientists, software engineers, and product managers to deliver customer-focused products
Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Build a robust scoring platform and deploy models
Create innovative analytical tools and leverage alternative data sources
Collaborate cross-functionally with engineering and product teams
Scale products, valuation models, and analytical capabilities
Translate complex data science work into tangible business goals
Research and evaluate emerging technologies and state-of-the-art methods
Support credit decisioning, cash flow underwriting, and real-time credit analytics

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a required degree expected by the scheduled start date
Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics, or Master's Degree in a quantitative field or an MBA with a quantitative concentration
Quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field
Experience developing data science solutions using open-source tools and cloud computing platforms
Experience building, validating, and backtesting models
Knowledge of confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning
Ability to retrieve, combine, and analyze data from varied sources and structures
Preferred: Master's Degree or PhD in a STEM field
Preferred: Experience working with AWS
Preferred: At least 2 years' experience in Python, Scala, or R
Preferred: At least 2 years' experience with machine learning
Preferred: At least 2 years' experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship consideration for a new qualified applicant
Reasonable accommodations for applicants who require them