Senior Associate, Data Scientist – Bureau Data Strategy

Capital One

Data Scientist at Capital One using machine learning and big data to optimize credit decisions. Collaborating with teams on delivering impactful data-driven solutions.

Posted 7/21/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesSenior💰 $135,600 - $154,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building machine learning models and performing data analytics using Python, PySpark, and SQL. Strong ability to collaborate with cross-functional teams to translate complex data insights into actionable business strategies.

Highest-signal resume keywords

Machine LearningPython ProgrammingPySpark Data AnalysisSQL ProficiencyData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPython ProgrammingPySparkSQLData AnalyticsStatistical AnalysisData VisualizationModel EvaluationModel ValidationData Processing

Soft Skills

Interpersonal SkillsCommunication Skills

Tools & Technologies

AWSH2OSparkConda

Industry Keywords

StatisticsEconomicsOperations ResearchAnalyticsMathematicsComputer Science

Tech Stack

Tools & technologies

AWSPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Requirements

What you’ll need

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
At least 2 years of experience working with PySpark for large scale data analysis
At least 2 years of experience in Python, Scala, or R
At least 2 years of experience with machine learning
At least 2 years of experience with SQL

Benefits

Comp & perks

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being