Senior Manager, Data Science – Partnerships Customer Management

Capital One

Data science leader building predictive machine learning models for Capital One’s partnership credit card portfolio. Leading teams, strategy, and production model delivery across customer management.

Posted 8/17/2026full-timeMcLean • Illinois, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science teams to develop predictive models for credit risk and financial analysis, utilizing advanced machine learning techniques and cloud computing platforms. Strong ability to translate complex data insights into actionable business strategies while ensuring alignment with stakeholders.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentData Analysis with AWSProject ManagementPeople Management

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsModel ValidationClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningRelational DatabasesBacktestingOpen-Source Programming

Soft Skills

MentoringStakeholder AlignmentCommunication

Tools & Technologies

CondaH2OSparkCloud Computing PlatformsData Science Solutions

Industry Keywords

Credit RiskPortfolio FinancialsData ScienceEmerging TechnologiesBusiness Goals

Tech Stack

Tools & technologies

AWSCloudPythonSpark

About the role

Key responsibilities & impact

Lead the Partnerships Customer Management Data Science team
Mentor and guide specialists delivering models that predict credit risk, account usage, and portfolio financials
Own the team’s strategic roadmap and project management for end-to-end model development
Ensure alignment with key business stakeholders
Oversee delivery of production-ready models with speed and sustainable impact
Partner with business analysts, software engineers, and product managers to deliver customer products
Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large numeric and textual datasets
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex data science work into tangible business goals
Research and evaluate emerging technologies and apply state-of-the-art methods
Retrieve, combine, and analyze data from varied sources and structures

Requirements

What you’ll need

Currently has, or is obtaining, a required degree expected by the scheduled start date
Bachelor’s degree in a quantitative field plus 7 years of experience performing data analytics, or Master’s degree/MBA with quantitative concentration plus 5 years, or PhD plus 2 years
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
Experience with Python, Conda, AWS, H2O, Spark, and open-source tools
Experience developing data science solutions using cloud computing platforms
Experience building, validating, and backtesting models
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Experience retrieving, combining, and analyzing data from varied sources and structures
Preferred: PhD in a STEM field plus 4 years of model development experience
Preferred: at least 1 year of AWS experience
Preferred: at least 1 year of people-management experience
Preferred: at least 5 years of Python experience
Preferred: at least 5 years of machine learning model experience
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 accommodation support for applicants who require it