Senior Manager, Data Science – Resiliency Intelligence

Capital One

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

Posted 9/29/2026full-timeUnited StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging Python, AWS, and machine learning to analyze large datasets and develop customer-focused solutions. Proven ability to translate complex data insights into actionable business strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS Cloud ComputingData AnalysisModel Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningModel BacktestingRelational DatabasesOpen Source ToolsLarge Scale Data Analysis

Tools & Technologies

CondaH2OSpark

Certifications & Qualifications

Bachelor's Degree in Quantitative FieldMaster's Degree in Quantitative FieldMBA with Quantitative ConcentrationPhD in Quantitative Field

Industry Keywords

Financial ResiliencyCross-Functional CollaborationBusiness Goals

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonScalaSpark

About the role

Key responsibilities & impact

Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products
Leverage Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex data science work into tangible business goals
Develop solutions that identify customer needs and recommend optimal solutions for financial resiliency
Create code and models that run in analytical and production environments at scale

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics; or a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience; or a PhD in a quantitative field plus 2 years of experience
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases
At least 2 years of experience with open-source tools and cloud computing platforms
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Experience building, validating, and backtesting models; interpreting confusion matrices and ROC curves
Ability to retrieve, combine, and analyze data from varied sources and structures
Preferred: PhD in STEM plus 4 years of experience in data analytics
Preferred: At least 1 year of experience working with AWS
Preferred: At least 1 year of experience managing people
Preferred: At least 5 years' experience in Python, Scala, or R for large scale data analysis
Preferred: At least 5 years' experience with machine learning
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