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Manager, Data Scientist, Data Solutions and Modeling
Capital One. Partner with data scientists, software engineers, and product managers to deliver customer-focused products .
Posted 10/9/2026full-timeChicago • Illinois • United StatesJunior💰 $179,400 - $204,700 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leveraging Python, SQL, and machine learning to develop data science solutions that align with business objectives. Proven ability to analyze large datasets and implement AI workflows to enhance fraud detection and merchant intelligence.
Highest-signal resume keywords
Python ProgrammingMachine LearningData AnalyticsSQL ProficiencyCloud Computing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisMachine Learning Model DevelopmentRelational Database UtilizationLarge Language Models (LLMs)AI Workflow DesignOpen Source ToolsStatistical AnalysisModel EvaluationData VisualizationStatistical Programming
Soft Skills
CollaborationProblem SolvingStakeholder EngagementTalent DevelopmentInnovative Thinking
Tools & Technologies
AWSH2OSparkCondaVector Databases
Industry Keywords
Fraud DetectionRisk ManagementMerchant IntelligenceGlobal Payment NetworkQuantitative Field
Tech Stack
Tools & technologiesAWSCloudOpen SourcePythonScalaSparkSQL
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
- Research and evaluate emerging technologies and apply state-of-the-art methods
- Challenge conventional thinking and work with stakeholders to improve the status quo
- Develop talent for the team and beyond
- Create models and AI tools supporting fraud/risk, merchant acceptance, merchant intelligence, and monitoring for the Global Payment Network
Requirements
What you’ll need- Currently has, or is in the process of obtaining, a required degree with the expectation it will be obtained on or before the scheduled start date
- 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
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
- Preferred: PhD in STEM plus 3 years of experience in model development
- 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
- Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases
- Experience designing and implementing AI workflows and autonomous AI agents
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
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