Manager, Data Scientist, Data Solutions and Modeling

Capital One

Data science manager building AI and machine learning solutions for Capital One’s global payments network. Developing models for fraud, merchant acceptance, intelligence, and monitoring.

Posted 8/21/2026full-timeChicago • Illinois • 🇺🇸 United StatesJunior💰 $179,400 - $204,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging Python, SQL, and machine learning to develop and implement data-driven solutions. Proven ability to translate complex data insights into actionable business strategies while fostering team development and collaboration.

Highest-signal resume keywords

Python ProgrammingMachine LearningSQL ProficiencyData AnalysisModel Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine Learning ModelsRelational DatabasesLarge Language ModelsAI WorkflowsCondaH2OSparkScalaR

Soft Skills

Cross-Functional CollaborationStakeholder EngagementTalent DevelopmentProblem SolvingInnovative Thinking

Tools & Technologies

AWSOpen Source Programming LanguagesVector DatabasesEmbedding Models

Industry Keywords

Quantitative FieldSTEM FieldData ScienceBusiness GoalsEmerging Technologies

Tech Stack

Tools & technologies

AWSOpen SourcePythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with cross-functional 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
Research and evaluate emerging technologies and state-of-the-art methods
Challenge conventional thinking and work with stakeholders to improve the status quo
Develop talent for the team and beyond

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's, Master's, MBA with a quantitative concentration, or PhD in a quantitative field, with the required degree 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; or PhD in a quantitative field plus 1 year
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
Preferred: PhD in a STEM field 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), embedding models, and 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
Benefits eligibility varies based on full or part-time status, exempt or non-exempt status, and management level
Reasonable accommodations for applicants who require them