Principal Associate, Data Scientist - US Card Upmarket Acquisition

Capital One • McLean, VA

97d • $144,200 - $181,000

About The Position

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 US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers. We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter.

Requirements

• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics.
• At least 1 years’ experience in open source programming languages for large scale data analysis.
• At least 1 years’ experience with machine learning.
• At least 1 years’ experience with relational databases.

Nice To Haves

• Master’s Degree in STEM field plus 3 years of experience in data analytics, or PhD in STEM field.
• At least 1 year of experience working with AWS.
• At least 3 years’ experience in Python, Scala, or R for large scale data analysis.
• At least 3 years’ experience with machine learning.
• At least 3 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, from idea to implementation, including designing and executing experiments, developing and iterating on machine learning models, and deploying production-ready solutions that directly impact business outcomes.
• 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: Mid Level
• Education Level: Master's degree