Senior Associate, Data Scientist – Recommendation & Personalization Systems

Capital One

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

Posted 9/17/2026full-timeMcLean • California • United StatesSenior💰 $135,600 - $168,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python, AWS, and machine learning to analyze data and build predictive models. Capable of translating complex technical concepts into actionable business strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalyticsSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ModelsData AnalysisStatistical AnalysisData RetrievalModel EvaluationModel ValidationRecommendation EnginesReinforcement LearningCausal InferenceTransformer Architectures

Soft Skills

CollaborationCommunicationResearch SkillsProblem-Solving

Tools & Technologies

CondaH2OSpark

Industry Keywords

Quantitative FieldStatisticsEconomicsOperations ResearchAnalyticsComputer Science

Tech Stack

Tools & technologies

AWSPythonScalaSparkSQL

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
Translate complex technical work into tangible business goals
Research and evaluate emerging technologies and stay current on state-of-the-art methods
Retrieve, combine, and analyze data from varied sources and structures
Architect and deploy personalized recommendation engines for web and mobile applications
Contribute to research involving foundation models, reinforcement learning, causal inference, transformer architectures, and recommender systems

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 working with AWS (preferred)
At least 2 years of experience in Python, Scala, or R (preferred)
At least 2 years of experience with machine learning (preferred)
At least 2 years of experience with SQL (preferred)
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