Manager, Data Science – US Card Customer Management

Capital One

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

Posted 9/23/2026full-timeUnited StatesJunior💰 $179,400 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging Python, AWS, and machine learning to develop data-driven solutions that align with business objectives. Proficient in statistical modeling and real-time data analysis to enhance customer insights and predictive capabilities.

Highest-signal resume keywords

Python ProgrammingMachine LearningStatistical ModelingAWS Cloud ComputingData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel ValidationBacktestingClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningRelational DatabasesH2O

Soft Skills

CollaborationCommunication

Tools & Technologies

CondaSpark

Industry Keywords

Quantitative FieldData ScienceCustomer Behavioral PredictionValuation Forecasting

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonSpark

About the role

Key responsibilities & impact

Partner with 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 data science work into tangible business goals
Develop real-time customer behavioral prediction and valuation forecasting solutions
Collaborate with business, engineering, analytics, product, and data science/quant teams

Requirements

What you’ll need

Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics, OR Master's Degree in a quantitative field or MBA with a quantitative concentration plus 4 years of experience performing data analytics, OR PhD in a 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
Experience with statistical modeling, model validation, backtesting, confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Proficiency with Python, Conda, AWS, H2O, Spark, and relational databases
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
Employment authorization sponsorship consideration for a new qualified applicant
Reasonable accommodations for applicants who require them