Manager, Data Science - AI Foundations
Not Disclosed•Full-TimeOn-site
location_onFairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
About the Company
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases in 1988. Fast-forward a few years, and this innovation and our passion for data have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
At Capital One, we are leading the next wave of disruption at a whole new scale. We operate across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
About the Team
The AI Foundations Specialist Models Data Science team builds and ships state-of-the-art scalable architecture and AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech, and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful content. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging generative AI technologies.
About the Role
In this role, you will partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data, serving as the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs).
You will build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation. You will partner with engineering teams to operationalize these models in scalable and resilient production systems that serve 80+ million customers. Beyond the technical work, you will flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Our Culture
The ideal candidate is customer-first, passionate about doing the right thing, and focused on making the right decisions for our customers. We value innovators who continually research and evaluate emerging technologies, and creatives who thrive on bringing definition to big, undefined problems. We are looking for leaders who challenge conventional thinking, work with stakeholders to improve the status quo, and are passionate about talent development. We seek individuals with an engineering mindset who can bring a cross-functional team along in breakthrough innovations and communicate findings clearly to non-technical audiences.
Hiring Process & Application
Capital One is committed to a fair and inclusive hiring process. We consider qualified applicants regardless of background. If you require an accommodation during the recruiting process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Equal Opportunity
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
Work location
Work model: On-site
Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
McLean, Virginia
Key Responsibilities
- check_circleTranslate complex technical work into tangible business goals for stakeholders
- check_circleResearch and evaluate emerging AI technologies to drive innovation and state-of-the-art solutions
- check_circleBuild and operationalize machine learning and NLP models through design, training, evaluation, and validation phases
- check_circleServe as NLP expert to harness Large Language Models for customer-facing applications and features
- check_circleLeverage PyTorch, AWS, Hugging Face, and LangChain to extract insights from large-scale numeric and textual data
- check_circlePartner with cross-functional teams to deliver AI-powered products that transform customer financial interactions
- check_circleDevelop scalable production systems capable of serving over 80 million customers
Requirements
- verifiedBachelor's in quantitative field plus 6 years data analytics OR Master's in quantitative field plus 4 years data analytics OR PhD in quantitative field plus 1 year data analytics
- verified1 year experience with open source programming languages for large scale data analysis
- verified1 year experience with machine learning
- verified1 year experience with relational databases
- verified4 years experience in Python, Scala, or R (preferred)
- verified4 years experience with machine learning (preferred)
- verified4 years experience with SQL (preferred)
- verifiedPhD in STEM field (preferred)
Nice to Have
PhD in a STEM field (Science, Technology, Engineering, or Mathematics). Experience working with AWS. At least 4 years of experience in Python, Scala, or R. At least 4 years of experience with machine learning. At least 4 years of experience with SQL.
Benefits & Perks
check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circlePerformance-based incentive compensation including cash bonuses and long-term incentives
Similar Job Opportunities
Skills, education and keywords
Skills: Statistical Modeling, Relational Database, Machine Learning, Pytorch, Aws, Hugging Face, Langchain, Lightning, Vectordbs, Natural Language Processing.
Education: Bachelor's in a quantitative field with 6 years of experience; Master's in a quantitative field or MBA with quantitative concentration plus 4 years of experience; PhD in a quantitative field plus 1 year of experience.
Frequently asked questions about Manager, Data Science - AI Foundations at Capital One
What does a Manager, Data Science - AI Foundations at Capital One do?expand_more
In this Manager, Data Science - AI Foundations at Capital One role, you will translate complex technical work into tangible business goals for stakeholders; research and evaluate emerging ai technologies to drive innovation and state-of-the-art solutions; build and operationalize machine learning and nlp models through design, training, evaluation, and validation phases; and serve as nlp expert to harness large language models for customer-facing applications and features.
What are the requirements for this Manager, Data Science - AI Foundations role?expand_more
To qualify for the Manager, Data Science - AI Foundations at Capital One position, applicants should have: Bachelor's in quantitative field plus 6 years data analytics OR Master's in quantitative field plus 4 years data analytics OR PhD in quantitative field plus 1 year data analytics; 1 year experience with open source programming languages for large scale data analysis; 1 year experience with machine learning; 1 year experience with relational databases; 4 years experience in Python, Scala, or R (preferred); and 4 years experience with machine learning (preferred).
Where is the Manager, Data Science - AI Foundations role at Capital One located?expand_more
Manager, Data Science - AI Foundations at Capital One is based in Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States. This is a on-site role.
Is this Manager, Data Science - AI Foundations job remote, hybrid, or on-site?expand_more
Capital One has listed this Manager, Data Science - AI Foundations role as on-site.
How much experience is required for this Manager, Data Science - AI Foundations role?expand_more
Manager, Data Science - AI Foundations at Capital One typically requires 1+ years of relevant experience at the senior level.
What skills do you need for the Manager, Data Science - AI Foundations role at Capital One?expand_more
Key skills for Manager, Data Science - AI Foundations at Capital One include Statistical Modeling; Relational Database; Machine Learning; Pytorch; Aws; Hugging Face; Langchain; and Lightning.
What education is required for Manager, Data Science - AI Foundations at Capital One?expand_more
Educational requirements for this role: Bachelor's in a quantitative field with 6 years of experience; Master's in a quantitative field or MBA with quantitative concentration plus 4 years of experience; and PhD in a quantitative field plus 1 year of experience.
What category does the Manager, Data Science - AI Foundations role belong to?expand_more
Manager, Data Science - AI Foundations at Capital One is part of the it job category on Recrutus.