Manager, Data Scientist - Card Mainstreet Acquisitions

About the role

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.

Responsibilities

• Identify, analyze, and mitigate systemic risks within a newly launched, multi-model business decisioning infrastructure through integrated monitoring frameworks
• Identify gaps and vulnerabilities using advanced statistical tools and techniques, leveraging pre-existing infrastructures or building from scratch where necessary
• Build and deploy solutions centered on Large Language Models (LLMs) and Agentic AIP
• Possess strong communication and collaboration skills to partner with cross-functional teams of data scientists, business analysts, and software engineers to deliver on products and tools for the business
• Partner with credit programs to leverage insights to improve their customer-facing policies

Requirements

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
• A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related 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

Qualifications

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years’ experience in Python, Scala, or R for large scale data analysis
• At least 4 years’ experience with machine learning
• At least 4 years’ experience with SQL

Skills

• Technical
• Statistically-minded
• Data guru

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Pay

Salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.

• Mclean, VA: $197,300 - $225,100 for Mgr, Data Science
• New York, NY: $215,200 - $245,600 for Mgr, Data Science

Schedule

This role is expected to accept applications for a minimum of 5 business days. No agencies please.