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Senior Director, Data Science

Job ID R76937 Updated date 05/30/2019 Location McLean, Virginia
McLean 2 (19052), United States of America, McLean, Virginia

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Senior Director, Data Science

Senior Director, Data Science

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card

industry by individually personalizing every credit card offer using statistical modeling and the relational database,

cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has

skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Twenty-five years after Capital One was started it’s still led by its founder. Be ready to join a community of the

smartest people you’ve ever met, who see the customer first, and want to use their data skills to make a difference.

Role Summary:

Small Business Card is one of the critical lines of business within Capital One. We develop products and services for Small Business owners and have the leading product in the market with the Spark card offering 2% cash back. The business has been growing massively year over year on the heels of a robust strategic agenda around building business-grade solutions to meet the needs of small businesses across the nation. Data is at the core of our strategy.

 

In this role as a Data Scientist Leader in the Small Business Card Organization, you’ll lead a team to usher in the next wave of disruption to behavioral modeling- using the latest in technology to build & deploy machine learning models while operating across massive data sets to power better marketing, underwriting- fundamentally provide a better data-powered experience for the customer.

 

On any given day you’ll be:

-Evaluating the landscape of tools to understand what will unlock new capabilities and performance and what is just a distraction

-Leading multiple teams and initiatives involving exploration and analysis of data across a variety of data platforms

-Motivating and mentoring a team of data scientists to grow their skills and careers

-Leveraging extensive, deep technical knowledge and team leadership skills to drive the development of data science

solutions and implement data-driven recommendations and outcomes

-Building relationships within Capital One across the external data science community to continue shaping the Capital

One data science brand and attracting top-tier talent

-Developing and deploying behavioral models to better target and underwrite prospects, applicants and customers

-Leveraging analytical and technical skills to build the next-generation enterprise digital experimentation and analytics platform

-Collaborating with data engineers, data scientists, product managers, and other business analysts to create a nimble and resilient modeling infrastructure that enables CICD

The Ideal Candidate will be:

-Technical: You have hands-on experience developing data science solutions, from concept to production, and

selecting the right tool for the job at hand.  You understand modern cloud computing and have a solid foundation in statistics. You have experience prototyping and implementing data science solutions in a financial institution.  You know Python, Scala, and/or R.

- Communicator: You can communicate complex ideas clearly.  Your team knows their priorities and you manage

expectations with your broader cross-functional stakeholder network ad leadership team

- Innovative, but also results-focused. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art algorithms & models. You balance R&D with in-market results.

- Customer & Business-Minded.  You have an astute ability to understand the customer and business problem that is to be solved and can drive towards impactful outcomes.

- Leader. You challenge conventional thinking and traditional ways of operating and you work with stakeholders to

identify and improve the status quo.

 

Basic Qualifications:

- Bachelor’s Degree plus 8 years of experience in data analytics, or Master’s Degree plus 6 years of experience in

data analytics, or PhD plus 4 years of experience in data analytics

-At least 5 years’ coding experience with open source programming languages in Pyhon, R or Scala

-At least 5 years’ experience developing commercial data science solutions in a financial institution leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning, video or image analysis, or time-series analysis

-At least 4 years’ experience managing data science or data engineering groups

 

Preferred Qualifications:

-Master’s Degree or Ph.D. in a “STEM” Major (Science, Technology, Engineering, or Math)

-At least 3 year experience working with AWS, Azure, or similar cloud platform

-At least 7 years’ experience developing commercial solutions in Python, Scala, or R

-At least 7 years’ experience developing commercial data science solutions leveraging one or more of the following:

operations research, natural language processing, machine learning, deep learning, video/image analysis, or time-

series analysis.

-At least 4 years of experience mentoring junior data scientists and providing technical governance and oversight

 

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).