Manager, Data Scientist

About the Role

Data is at the center of everything at Capital One. The Data Solutions and Model team builds machine learning and AI agents to support customers in the Global Payment Network, creating models and AI tools for fraud/risk, merchant acceptance, merchant intelligence, and monitoring.

Key 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 like Python, Conda, AWS, H2O, and Spark to reveal insights from large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate the complexity of work into tangible business goals using interpersonal skills.

Requirements & Tech Stack

• Python
• Conda
• AWS
• H2O
• Spark
• Machine Learning
• Relational Databases
• Open-source programming languages
• Cloud computing platforms

Qualifications

Basic Qualifications:

• Currently have, or be in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) with an expectation that the required degree will be obtained on or before the scheduled start date.
• PLUS 6 years of experience performing data analytics.
• Currently have, or be in the process of obtaining 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, with an expectation that the required degree will be obtained on or before the scheduled start date.
• PLUS 4 years of experience performing data analytics.
• Currently have, or be in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field), with an expectation that the required degree will be obtained on or before the scheduled start date.
• 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.

Preferred Qualifications:

• PhD in a "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in model development.
• At least 4 years’ experience in Python, Scala, or R.
• At least 4 years’ experience with machine learning.
• At least 4 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.