Manager, Data Science - US Card (Fraud)

Capital One • McLean, VA

116d • $175,800 - $240,800

About The Position

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. The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. We prevent fraud at many steps of a customer journey, from the application to spending and payments, using real-time models. We care very deeply about doing things the right way, automating, and innovating to improve the customer experience and prevent fraud.

Requirements

• Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics, or a Master's Degree plus 4 years of experience, or a PhD plus 1 year of experience.
• 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.

Nice To Haves

• PhD in STEM field 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.

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, 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.
• Translate the complexity of your work into tangible business goals.

Benefits

• Comprehensive health benefits.
• Financial benefits including performance-based incentives.
• Inclusive set of benefits that support total well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree