Manager, Data Science – Emerging ML

Capital One

. Conduct research into self-supervised learning, transformer models, and representation learning .

Posted 11/3/2026full-timeUnited StatesJunior💰 $197,300 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operationalizing machine learning models using Python, Scala, and AWS, with a strong foundation in data analytics and statistical modeling. Capable of communicating complex findings to non-technical stakeholders while driving improvements in customer experiences and business outcomes.

Highest-signal resume keywords

Machine LearningPython ProgrammingAWS ExperienceData AnalyticsStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Self-Supervised LearningTransformer ModelsRepresentation LearningClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningRelational DatabasesData Science Solutions

Soft Skills

CommunicationCollaboration

Tools & Technologies

SparkAWSOpen Source ToolsCloud Computing Platforms

Certifications & Qualifications

Bachelor's DegreeMaster's DegreeMBAPhD

Industry Keywords

Customer Behavioral ModelsData AnalysisFraud PreventionMarketingServicing

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonScalaSparkSQL

About the role

Key responsibilities & impact

Conduct research into self-supervised learning, transformer models, and representation learning
Build customer behavioral models using transaction, clickstream, and other data
Refine integration patterns for encoder and decoder models for downstream use cases
Build machine learning models through design, training, evaluation, and validation
Partner with engineering teams to operationalize models in scalable, resilient production systems serving 50+ million customers
Partner with business and product teams to conduct experiments improving customer experiences and business outcomes in marketing, servicing, and fraud prevention
Write software in Python, Scala, or similar languages to collect, explore, visualize, and analyze numerical and textual data
Use tools such as Spark and AWS to analyze billions of customer transactions, clicks, and payments
Communicate findings to non-technical audiences

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's, Master's, MBA with a quantitative concentration, or PhD in a quantitative field, with the required degree obtained by the scheduled start date
Bachelor's degree plus 6 years of experience performing data analytics, or Master's/MBA plus 4 years, or PhD plus 1 year
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
Hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms
Experience building, validating, and backtesting statistical models
Experience with clustering, classification, sentiment analysis, time series analysis, and deep learning
Preferred: PhD in a STEM field
Preferred: Experience working with AWS
Preferred: At least 4 years’ experience in Python, Scala, or R
Preferred: At least 4 years’ experience with machine learning
Preferred: At least 4 years’ experience with SQL
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 who require them