Manager, Data Science – AI Foundations

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Capital One seeks a senior AI/ML leader to partner with data scientists, software engineers, and product managers to deliver AI-powered products. You will design, train, and deploy scalable NLP and ML models for the bank's consumer apps.

You will work with PyTorch, Hugging Face, LangChain, Lightning, and VectorDBs on cloud platforms to enable personalized experiences, production-grade systems, and measurable business impact, while mentoring teams and communicating findings to non-technical

Qualifications

• Bachelor's degree in a quantitative field with 6 years' data analytics experience, or Master's/MBA with quantitative focus and 4 years.

Responsibilities

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Build and ship scalable architecture and AI/ML solutions for Capital One’s mobile app
• Develop app features with dynamic and personalized customer experiences
• Enable customers to interact with digital assistant Eno and search useful content
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and other technologies to analyze numeric and textual data
• Apply NLP and LLM expertise to adapt and fine-tune models for customer-facing applications
• Build machine learning and NLP models through design, training, evaluation, and validation
• Partner with engineering teams to operationalize models in scalable, resilient production systems serving 80+ million customers
• Translate complex technical work into tangible business goals
• Research and evaluate emerging technologies and apply state-of-the-art methods
• Lead talent development for the team and beyond
• Influence cross-functional stakeholders and communicate findings to non-technical audiences

Skills

Machine Learning

Natural Language Processing

Python

AWS

Education

Bachelor's Degree in Quantitative Field

Master's Degree in Quantitative Field or MBA

PhD in Quantitative Field

Tools

PyTorch

Hugging Face

LangChain

Lightning

VectorDBs

AWS Ultraclusters

Job description

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Build and ship scalable architecture and AI/ML solutions for Capital One’s mobile app
• Develop app features with dynamic and personalized customer experiences
• Enable customers to interact with digital assistant Eno and search useful content
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and other technologies to analyze numeric and textual data
• Apply NLP and LLM expertise to adapt and fine-tune models for customer-facing applications
• Build machine learning and NLP models through design, training, evaluation, and validation
• Partner with engineering teams to operationalize models in scalable, resilient production systems serving 80+ million customers
• Translate complex technical work into tangible business goals
• Research and evaluate emerging technologies and apply state-of-the-art methods
• Lead talent development for the team and beyond
• Influence cross-functional stakeholders and communicate findings to non-technical audiences

Requirements

• Currently has, or is in the process of obtaining, a required degree with expected completion by 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
• Experience training language models or large computer vision models
• Expertise in one or more of: 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
• Hands-on experience with LLMs and solutions using open-source tools and cloud computing platforms
• Preferred: PhD in a STEM field
• Preferred: Experience working with AWS
• Preferred: At least 4 years of experience in Python, Scala, or R
• Preferred: At least 4 years of experience with machine learning
• Preferred: At least 4 years of experience with SQL
• Capital One will consider sponsoring a new qualified applicant for employment authorization

Core Competencies

Demonstrates expertise in building and operationalizing AI and machine learning solutions, with a strong focus on natural language processing and large language models. Proven ability to translate complex technical concepts into actionable business strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

• Machine Learning Expertise
• Natural Language Processing (NLP)
• Experience with PyTorch
• Proficiency in Python
• Experience with AWS

ATS Optimization Keywords

Hard Skills

• Data Analytics
• Model Training and Evaluation
• Relational Databases
• Large-Scale Data Analysis
• Training Optimization
• Self-Supervised Learning
• Explainability
• Reinforcement Learning from Human Feedback (RLHF)
• SQL
• Cloud Computing

Soft Skills

• Cross-Functional Collaboration
• Influencing Stakeholders
• Communication Skills
• Talent Development

Certifications & Qualifications

• Bachelor's Degree in Quantitative Field
• Master's Degree in Quantitative Field or MBA
• PhD in Quantitative Field

Industry Keywords

• AI-Powered Products
• Customer Experience
• Digital Assistant
• Emerging Technologies
• Scalable Architecture

Tools & Technologies

• AWS Ultraclusters
• Hugging Face
• LangChain
• Lightning
• VectorDBs