Senior Manager, Data Scientist - US Card (Generative AI Systems)

About

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, cutting‑edge technology in 1988. Fast‑forward a few years, and this innovation and our passion for data have propelled us to a Fortune 200 company and a leader in data‑driven decision‑making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest computing and machine learning technologies across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.

Team Description

The Generative AI Systems (Genesis) team within Card Data Science builds state‑of‑the‑art, generative AI‑based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time‑series sequencing modeling. We partner with product, tech, and design teams to deliver internal applications that drive efficiency for our business and data‑analytics teams, as well as customer‑facing applications that enhance the customer experience. You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementations, and contributing research to major NLP and AI/ML conferences.

Role Description / Responsibilities

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage a broad stack of technologies — Python, Kubernetes, AWS, H2O, Spark, and more — to reveal insights hidden within huge volumes of numeric and textual data.
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Translate the complexity of your work into tangible business goals using strong interpersonal skills.

Ideal Candidate

• Customer first – passionate about making the right decisions for customers.
• Creative – thrives on defining big, undefined problems, asks questions, and pushes hard to find answers.
• Leader – challenges conventional thinking, works with stakeholders to improve the status quo, and is passionate about talent development.
• Technical – comfortable with open‑source languages, hands‑on experience developing data‑science solutions using open‑source tools and cloud platforms.

Basic Qualifications

• Currently has, or is in the process of obtaining, one of the following (expected before start date):
  • Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 7 years of data‑analytics experience.
  • Master’s Degree in a quantitative field (or an MBA with a quantitative concentration) plus 5 years of data‑analytics experience.
  • PhD in a quantitative field plus 2 years of data‑analytics 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.

Preferred Qualifications

• PhD in a STEM field plus 4 years of data‑analytics experience.
• At least 1 year of experience working with AWS.
• At least 1 year of experience managing people.
• At least 5 years of experience in Python, Scala, or R for large‑scale data analysis.
• At least 5 years of experience with machine learning.

Compensation (by location)

• McLean, VA: $225,400 – $257,200
• New York, NY: $245,900 – $280,600

This role is also eligible to earn performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives (LTI).

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.

Equal Opportunity & Accommodations

Capital One is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. The company promotes a drug‑free workplace and will consider qualified applicants with a criminal history in accordance with relevant laws.

For accommodation requests, contact Capital One Recruiting at 1‑800‑304‑9102 or email RecruitingAccommodation@capitalone.com.

For technical support or recruiting questions, email Careers@capitalone.com.