Senior Manager, Data Science - Business Card and Payment

Capital One • McLean, VA

5d • $229,900 - $262,400

About The Position

The Senior Manager, Data Science will lead data science work on Capital One’s Business Cards & Payments Credit Infrastructure team, which informs and powers underwriting and marketing decisions for Small Business card products. The role involves conducting rigorous statistical analysis and building novel decision systems to help the business make better decisions.

The position partners with data scientists, software engineers, product managers, and business analysts across model development. It uses technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, and develops machine-learning models from design through training, evaluation, validation, and implementation. The role also translates technical findings into tangible business goals and supports talent development.

Requirements

• Currently have, or be in the process of obtaining by the scheduled start date, one of the following: a bachelor's degree in a quantitative field plus 7 years of data analytics experience; a master's degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of data analytics experience; or a PhD in a quantitative field plus 2 years of data analytics experience.
• At least 2 years of experience using open-source programming languages for large-scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience using relational databases.
• Experience building, validating, and back-testing models, and interpreting confusion matrices or ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.

Nice To Haves

• A PhD in a STEM field plus 4 years of data analytics experience.
• At least 1 year of experience working with AWS.
• At least 1 year of experience managing people.
• At least 5 years of experience using Python, Scala, or R for large-scale data analysis.
• At least 5 years of experience with econometrics or causal inference.
• At least 5 years of experience with machine learning, specifically reinforcement learning.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver products for customers.
• Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
• Build machine-learning models through design, training, evaluation, validation, and implementation.
• Translate complex analytical work into tangible business goals.
• Work with the business to inform underwriting and marketing decisions for Small Business card products.
• Develop talent within the team and beyond.

Benefits

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

What This Job Offers

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