Senior Manager, Data Science - Bureau Data Strategy

Capital One • McLean, VA

1d

About The Position

The Senior Manager, Data Science will work on Capital One’s Bureau Data Strategy team, which produces a highly used dataset from raw credit bureau data for US Card. The team generates insights, extracts value from bureau data, and shapes how credit bureau data is used in 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 uncover insights. The Senior Manager builds machine learning models through design, training, evaluation, validation, and implementation, and communicates technical work in terms of tangible business goals.

The ideal candidate puts customers first, challenges conventional thinking, works with stakeholders to improve existing practices, and is passionate about developing talent. They have hands-on experience building data science solutions with open-source tools and cloud platforms, and can retrieve, combine, and analyze data from varied sources and structures.

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.
• Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Ability to retrieve, combine, and analyze data from a variety of sources and structures.

Nice To Haves

• 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 uncover 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.
• Work with stakeholders to identify and improve the status quo.
• Support talent development for the team and beyond.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Eligibility for 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