Manager, Data Scientist - Alternative Data Strategy

Capital One • McLean, VA

2d • $215,200 - $245,600 • Hybrid

About The Position

The Manager, Data Scientist on Capital One’s Alternative Data Strategy team helps advance US Card credit decisioning by integrating non-traditional datasets. The role evaluates emerging vendors and data products, engineers high-impact features, builds scalable data processing and monitoring systems, and serves as a data domain expert who guides users on dataset applications. It also involves navigating risk governance for vendor models and building challenger models using new data to improve existing models.

The position partners with data scientists, software engineers, and product managers to deliver customer-focused products. It uses technologies such as Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, and develops machine learning models throughout design, training, evaluation, validation, and implementation. The role also translates technical work into business goals and involves cross-functional collaboration and continuous learning.

This is a hybrid position, subject to Capital One’s policy on required on-site presence at the designated office location. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

Requirements

• Currently has or is obtaining a qualifying degree, with the required degree expected on or before the scheduled start date.
• Bachelor’s degree in a quantitative field plus 6 years of experience performing data analytics; or a master’s degree in a quantitative field, or an MBA with a quantitative concentration, plus 4 years of data analytics experience; or a PhD in a quantitative field plus 1 year of data analytics 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 a STEM field plus 3 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 4 years of experience using Python, Scala, or R for large-scale data analysis.
• At least 4 years of experience with machine learning.
• At least 4 years of experience with SQL.

Responsibilities

• Evaluate emerging data vendors and products for integration into US Card credit strategies.
• Engineer high-impact features from non-traditional datasets.
• Build scalable data processing and monitoring systems.
• Serve as a data domain expert and guide users on dataset applications.
• Navigate risk governance for vendor models and build challenger models using new data.
• Partner with data scientists, software engineers, and product managers to deliver products.
• Use technology and machine learning to uncover insights in large volumes of numeric and textual data.
• Develop machine learning models through design, training, evaluation, validation, and implementation.
• Translate technical work into tangible business goals.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager