Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling
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 the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of 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 in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring.
Role Description
In this role, you will:
- 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, Conda, AWS, H2O, Spark, and more — to reveal the 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
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
- A leader who challenges conventional thinking and works with stakeholders to identify and improve the status quo, and who is passionate about talent development for your own team and beyond
- Innovative, continuously researching and evaluating emerging technologies, staying current on state‑of‑the‑art methods and applications, and seeking opportunities to apply them
- Creative, thriving on bringing definition to big, undefined problems, love asking questions, pushing hard to find answers, and not afraid to share a new idea
- Technical, comfortable with open‑source languages and passionate about developing further, with hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms
Basic Qualifications
- Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- Master’s Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- PhD in a quantitative field
Preferred Qualifications
- Master’s Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field
- At least 3 years’ experience in Python, Scala, or R
- At least 3 years’ experience with machine learning
- At least 3 years’ experience with SQL
- Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases
- Experience designing and implementing AI workflows and autonomous AI agents
Benefits
- Salary range (Anytown, IL): $147,100 – $167,900
- Performance based incentive compensation, including cash bonus(es) and/or long‑term incentives
- Comprehensive health, financial and other benefits supporting total well‑being
- Eligible for sponsorship of employment authorization for qualified applicants
Employment and Equal Opportunity Statement
Capital One is an equal opportunity employer (EOE, including disability/vet) and is committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws and regulations.
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