Senior Manager, Data Science – AI Foundations

Capital One

. Partner with cross-functional data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products .

Posted 10/19/2026full-timeUnited StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Natural Language Processing (NLP) and machine learning, with a strong focus on leveraging technologies such as PyTorch and AWS to build scalable AI-powered products. Proven ability to translate complex technical concepts into actionable business insights while mentoring and developing talent within teams.

Highest-signal resume keywords

Natural Language Processing (NLP)Machine LearningPythonAWSData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalyticsPythonSQLRelational DatabasesOpen Source Programming LanguagesTraining Language ModelsTraining OptimizationSelf-Supervised LearningExplainability

Soft Skills

CommunicationCollaborationMentoringProblem-SolvingStakeholder Engagement

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLangChainLightningVectorDBsCloud Computing PlatformsOpen-Source Tools

Industry Keywords

AI-Powered ProductsLarge Scale Data AnalysisModel TrainingModel EvaluationModel Operationalization

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonPyTorchScalaSQL

About the role

Key responsibilities & impact

Partner with cross-functional data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
Leverage PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and other technologies to analyze large volumes of numeric and textual data
Serve as an NLP expert using LLMs and adapting and fine-tuning them for customer-facing applications and features
Build machine learning and NLP models through design, training, evaluation, and validation
Partner with engineering teams to operationalize models in scalable and resilient production systems serving 80+ million customers
Translate complex technical work into tangible business goals
Research and evaluate emerging AI technologies and state-of-the-art methods
Challenge conventional thinking and identify improvements with stakeholders
Develop talent within the team and beyond
Communicate findings clearly to non-technical audiences

Requirements

What you’ll need

Currently has, or is in the process of 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 in a quantitative field or MBA with a quantitative concentration plus 5 years of experience, or PhD in a quantitative field plus 2 years of experience
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 working with AWS
At least 5 years’ experience in Python, Scala, or R
At least 5 years’ experience with machine learning
At least 5 years’ experience with SQL
Experience training language models or large computer vision models
Expertise in one or more of: training optimization, self-supervised learning, explainability, 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
Hands-on experience with LLMs, 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 bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Equal opportunity employer committed to non-discrimination
Reasonable accommodations for applicants with disabilities
Drug-free workplace