Manager, Data Science – Emerging ML

Capital One

Data Scientist at Capital One focused on developing machine learning models and innovative technologies. Collaborating with teams to enhance customer experiences and financial decision-making.

Posted 4/24/2026full-timeMcLean • California, New York, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $197,300 - $245,600 per yearWebsite

Tech Stack

Tools & technologies

AWSOpen SourcePythonScalaSpark

About the role

Key responsibilities & impact

Conducting research into self supervised learning, transformer models, and representation learning
Building customer behavioral models (using transaction, clickstream, and other data) that identify trends, patterns, and relationships related to product usage
Refining integration patterns for encoder and decoder models for downstream use cases to connect Applied Research products and business use cases
Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.
Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.

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 6 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 plus 4 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

self supervised learningtransformer modelsrepresentation learningmachine learningdata analyticslarge scale data analysisrelational databasesdata visualizationmodel evaluationmodel validation

Soft Skills

collaborationcommunicationproblem solvinganalytical thinkingexperimentation