Senior Associate, Data Scientist – Card Intelligence

Capital One

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

Posted 11/9/2026full-timeUnited StatesSenior💰 $135,600 - $168,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and machine learning, utilizing Python, AWS, and various data science methodologies to drive business outcomes. Proficient in translating complex data insights into actionable strategies across the credit card lifecycle.

Highest-signal resume keywords

Python ProgrammingMachine Learning DevelopmentAWS Cloud ComputingData AnalysisSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningStatistical AnalysisData RetrievalData CombinationData Evaluation

Tools & Technologies

CondaH2OSpark

Industry Keywords

Quantitative FieldCredit Card LifecycleBusiness StrategyFraud PreventionCustomer Experience

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 uncover insights from large numeric and textual datasets
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex data science work into tangible business goals
Support business strategy and customer experiences across the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention
Research and evaluate emerging technologies and state-of-the-art methods
Retrieve, combine, and analyze data from varied sources and structures

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 quantitative field
Experience developing data science solutions using open-source tools and cloud computing platforms
Experience with 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 in STEM or PhD in STEM
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 may be considered for a new qualified applicant