Senior Manager, Data Science - Bureau Data Strategy

Capital One • McLean, VA

2d • $229,900 - $286,200

About The Position

The Senior Manager, Data Science will work on Capital One’s Bureau Data Strategy team, which generates insights and extracts value from raw credit bureau data to shape how that data is used in US Card underwriting. The role partners with data scientists, software engineers, and product managers to deliver customer-focused products. It uses technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, and develops machine learning models through design, training, evaluation, validation, and implementation. The position also requires communicating complex technical work in terms of tangible business goals and contributing to leadership and talent development.

Requirements

• A bachelor's degree in a 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.
• 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.

Nice To Haves

• A PhD in a STEM field 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 machine learning.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver a product customers love.
• Use technologies such as 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 the complexity of data science work into tangible business goals.
• Work with stakeholders to identify and improve existing approaches.
• 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