Manager, Data Scientist – Card Mainstreet Acquisitions

Capital One

Capital One data science manager building AI-driven credit acquisition models and risk decisioning systems. Leading statistical analysis, LLM solutions, and multi-model infrastructure risk mitigation.

Posted 8/25/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesJunior💰 $197,300 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, statistical modeling, and machine learning, with a strong focus on developing and validating predictive models using large-scale data and cloud-based processing. Proficient in leveraging open-source programming languages and collaborating with cross-functional teams to translate technical insights into business objectives.

Highest-signal resume keywords

Data AnalyticsMachine LearningStatistical ModelingOpen-Source ProgrammingCloud Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingModel ValidationBacktestingClusteringClassificationSentiment AnalysisTime SeriesDeep LearningPredictive ModelingData Analysis

Soft Skills

CollaborationCommunication

Tools & Technologies

Large Language ModelsAgentic AIRelational DatabasesOpen-Source ToolsCloud Computing Platforms

Industry Keywords

Data ScienceRisk MitigationBusiness DecisioningEmerging Technologies

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Identify, analyze, and mitigate systemic risks within a newly launched, multi-model business decisioning infrastructure
Identify gaps and vulnerabilities using advanced statistical tools and techniques
Leverage pre-existing infrastructures or build new ones where necessary
Build and deploy solutions centered on Large Language Models (LLMs) and Agentic AI
Partner with data scientists, business analysts, and software engineers to deliver products and tools
Translate complex technical work into tangible business goals
Research and evaluate emerging technologies and apply state-of-the-art methods
Develop and validate predictive models using large-scale data and cloud-based processing
Partner with credit programs to improve customer-facing policies

Requirements

What you’ll need

Bachelor's degree in a quantitative field plus 6 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 4 years, or PhD in a quantitative field plus 1 year
Degree must be obtained on or before the scheduled start date
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, and backtesting
Knowledge of clustering, classification, sentiment analysis, time series, and deep learning
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses 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