Principal Data Scientist – AI Foundations, Specialist Models

Capital One

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

Posted 9/22/2026full-timeUnited StatesLead💰 $161,800 - $201,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and implementing machine learning models using Python and AWS, with a strong foundation in data analytics and quantitative methods. Capable of translating complex technical concepts into actionable business strategies while leveraging emerging technologies.

Highest-signal resume keywords

Machine LearningPythonAWSData AnalyticsSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalyticsPythonSQLScalaRClusteringClassificationSentiment AnalysisDeep Learning

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

AWSH2OSparkConda

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

Data ScienceQuantitative FieldCloud ComputingOpen-Source ToolsEnterprise Data Lifecycle

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
Leverage 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 state-of-the-art methods
Experiment, innovate, and create next-generation experiences powered by emerging machine learning technologies
Deliver machine learning solutions supporting the enterprise data lifecycle

Requirements

What you’ll need

Currently has, or is in the process of obtaining, one of the required degrees with the expectation it will be obtained by the scheduled start date
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
Preferred: Master’s Degree or PhD in a STEM field
Experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
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
Experience building, validating, and back testing models
Ability to retrieve, combine, and analyze data from varied sources and structures
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
Reasonable accommodations for applicants who require them