Principal Associate, Data Scientist

Capital One

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

Posted 10/6/2026full-timeUnited StatesJuniorMid-Level💰 $147,100 - $201,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and implementing machine learning models, particularly for personal loan acquisition, utilizing Python, AWS, and data analytics. Strong ability to translate complex data insights into actionable business strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingAWS ExperienceData AnalyticsSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalyticsPythonSQLClusteringClassificationSentiment AnalysisTime SeriesDeep LearningH2O

Tools & Technologies

AWSCondaSparkOpen-Source ToolsCloud Computing Platforms

Certifications & Qualifications

Bachelor's Degree in Quantitative FieldMaster's Degree in STEM FieldPhD in Quantitative Field

Industry Keywords

Personal Loan AcquisitionCampaign OptimizationRisk ModelingData Science SolutionsBusiness Goals

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products
Build machine learning models for personal loan acquisition, including list selection, campaign and channel optimization, underwriting, pricing, and verification
Leverage Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from large volumes of numeric and textual data
Develop machine learning models through design, training, evaluation, validation, and implementation
Translate complex data science work into tangible business goals
Research and evaluate emerging technologies and apply state-of-the-art methods
Analyze and create data science solutions focused on customer outcomes

Requirements

What you’ll need

Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics, or Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience performing data analytics, or PhD in a quantitative field
Currently has, or is in the process of obtaining, the required degree with an expectation that it will be obtained on or before the scheduled start date
Preferred: Master’s Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning marketing or risk modeling
At least 3 years’ experience with SQL
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 interpret a confusion matrix or a ROC curve
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) 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