Manager, Data Science – Global Payment Network AI Foundations

Capital One

. Partner with data scientists, software engineers, ML engineers, and product managers to deliver AI-powered capabilities .

Posted 10/5/2026full-timeUnited StatesJunior💰 $179,400 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in Natural Language Processing (NLP) and Large Language Models (LLMs), with a strong background in machine learning and data analytics. Capable of translating complex technical concepts into business value while delivering scalable AI solutions.

Highest-signal resume keywords

Expertise In NLPExperience With LLMsProficiency In PythonExperience With SQLExperience Delivering Models At Scale

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningData AnalyticsTraining Language ModelsOpen-Source Programming LanguagesRelational DatabasesTraining OptimizationSelf-Supervised LearningExplainabilityRLHFAI Workflows

Soft Skills

CollaborationTalent DevelopmentCommunication

Tools & Technologies

PyTorchAWSVectorDBsLLMs

Certifications & Qualifications

Bachelor's DegreeMaster's DegreeMBAPhD

Industry Keywords

AI-Powered CapabilitiesMerchant IntelligenceEmerging TechnologiesState-Of-The-Art Methods

Tech Stack

Tools & technologies

AWSPythonPyTorchScalaSQL

About the role

Key responsibilities & impact

Partner with data scientists, software engineers, ML engineers, and product managers to deliver AI-powered capabilities
Evaluate billions of network transactions and transform merchant intelligence
Use PyTorch, AWS, VectorDBs, and LLMs to extract insights from numerical, tabular, and textual data
Serve as domain expert in NLP and LLMs
Adapt, fine-tune, and deploy language models for business users
Translate technical machine-learning complexity into business value and strategic goals
Research and evaluate emerging technologies and state-of-the-art methods
Develop talent within the team and across the organization
Deliver models at scale and provide libraries, platforms, or solution-level code for existing products

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's, Master's, MBA, or PhD in a quantitative field, with the required degree obtained by the scheduled start date
Bachelor's degree plus 6 years of experience performing data analytics, or Master's/MBA plus 4 years, or PhD 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
Experience training language models
Expertise in one or more subdomains such as training optimization, self-supervised learning, explainability, or RLHF
Track record of delivering models at scale in training data and inference volumes
Experience delivering libraries, platforms, or solution-level code to existing products
Preferred: PhD in a STEM field plus 3 years of model development experience
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 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

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 with disabilities