Senior Associate, Data Scientist

Capital One

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

Posted 10/6/2026full-timeUnited StatesSenior💰 $123,300 - $168,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in Python, SQL, and machine learning model development, with a strong focus on translating analytical insights into actionable business strategies. Proficient in utilizing AWS and advanced data analysis techniques to optimize marketing and risk modeling processes.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentSQL ProficiencyAWS ExperienceData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLMachine LearningData AnalysisModel ValidationClusteringClassificationSentiment AnalysisTime Series AnalysisDeep Learning

Tools & Technologies

AWSCondaH2OSpark

Industry Keywords

Predictive ModelingRisk ModelingPersonal Loan AcquisitionCampaign OptimizationUnderwritingPricingVerification

Tech Stack

Tools & technologies

AWSPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
Use Python, Conda, AWS, H2O, Spark, and related technologies to analyze large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex analytical work into tangible business goals
Build predictive TDR and non-TDR models for personal loan acquisition, including list selection, campaign and channel optimization, underwriting, pricing, and verification

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics, with the degree obtained by the scheduled start date
Alternatively, a Master's Degree in a quantitative field or an MBA with a quantitative concentration
Preferred: Master’s Degree in a STEM field or PhD in a STEM field
At least 2 years’ experience in Python, Scala, or R
At least 2 years’ experience with machine learning marketing or risk modeling
At least 2 years’ experience with SQL
Experience working with AWS preferred
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Experience retrieving, combining, and analyzing data from varied sources and structures
Experience building, validating, and backtesting models
Capital One will consider sponsoring a new qualified applicant for employment authorization

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
Reasonable accommodations for applicants with disabilities