[Hiring] Director, Data Science @Capital One

Role Description

We’re seeking a Data Science Manager to support strategic priorities for Consumer and Developer Experience (CDX), as part of CDX’s product strategy team. CDX is an exciting space with diverse product responsibilities. The organization’s remit spans customer digital engagement, including the Capital One app; Capital One’s marketing platform, analytics, and personalization engine; the product suite used to manage all Capital One suppliers and vendors; products associated with the company’s risk management responsibilities; and more.

CDX’s product strategy team is a blend of strategy, product, and data science. We tackle the organization’s hardest strategic and analytical questions, delivering answers that fundamentally change the way we do business. We also act as an innovation lab, developing prototypes and partnering closely with product and engineering teams to translate conceptual visions into tangible, scaled digital experiences. We are looking for someone who thrives in this duality – someone who is equally energized by big-picture questions about where the world is going, thorny problems that require a strategic mindset and deep analytical rigor, and hands-on building.

In this role, you will:

• Partner with a cross-functional team of software engineers, business analysts, and product managers to ensure we are delivering products customers love that move the needle for the business.
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Qualifications

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing.
• Innovative. You continually research and evaluate emerging technologies.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.
• Technical. You’re comfortable with open-source languages and are passionate about developing further.
• Statistically-minded. You’ve built models, validated them, and backtested them.
• A data guru. “Big data” doesn’t faze you.

Requirements

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics.
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics.
• A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics.
• At least 4 years of experience leveraging open source programming languages for large scale data analysis.
• At least 4 years of experience working with machine learning.
• At least 4 years of experience utilizing relational databases.

Preferred Qualifications

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 3 years of experience managing people.
• At least 5 years of experience in Python, Scala, or R for large scale data analysis.
• At least 5 years of experience with machine learning.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.