Senior Manager, Data Science - Business Card and Payment

Capital One • McLean, VA

3d • $229,900 - $262,400

About The Position

Capital One is seeking a Senior Manager, Data Science for its Business Cards & Payments Credit Infrastructure team. The team informs and powers underwriting and marketing decisions for flagship Small Business card products. The role uses rigorous statistical analysis and novel decision systems to help the business make better decisions, working collaboratively with data scientists, business analysts, and software engineers across model development.

The role partners with data scientists, software engineers, and product managers to develop customer-focused products. It applies technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data. The position builds machine-learning models across the full development lifecycle, from design and training through evaluation, validation, and implementation, and translates technical work into tangible business goals.

The ideal candidate is innovative, creative, and a leader who researches emerging technologies, takes on complex and undefined problems, challenges conventional thinking, works with stakeholders to improve existing practices, and supports talent development. They are statistically minded and experienced in building, validating, and back-testing models, with familiarity with confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning.

The position is based in McLean, Virginia for the listed salary range. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers a comprehensive set of health, financial, and other benefits; eligibility varies by employment status and management level.

Requirements

• A bachelor's degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics; or 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. The required degree may be in progress if it is expected to be obtained on or before the scheduled start date.
• At least 2 years of experience leveraging 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 utilizing 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

• PhD in a STEM field (Science, Technology, Engineering, Economics, or Mathematics) plus 4 years of experience in data analytics.
• 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 customers love.
• Use technologies including Python, Conda, AWS, H2O, and Spark to find insights in large volumes of numeric and textual data.
• Build machine-learning models through design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals.
• Conduct rigorous statistical analysis and build novel decision systems to inform business decisions.
• Work with stakeholders to identify and improve the status quo.
• Support talent development 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