Data is at the center of everything we do. 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.
The mission of this role is to drive the continual transformation of Capital One Consumer Bank’s Customer Protection Data Science division. As the leading machine learning group, defining the next generation of banking, you will drive innovation that hardens our defenses against various types of bank fraud. In this role, you’ll be central to determining our vision and strategy for machine learning applications in fraud detection and prevention that deeply impact the lives and financial freedom of our 12 million consumer bank customers.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing technologies and machine learning methods that operate across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The Customer Protection Data Science team has a relentless focus on the craft of data sciences spanning statistics, machine learning and distributed computing domains. Our relentless innovation is aimed towards continually identifying fraud attacks across every stage of the customer life cycle. You will be working with cross functional teams including product, engineers and business analysts to identify and enable real-time intelligent decisions as part of our defenses. This is core to delivering the Bank’s mission of Changing Banking for Good as it will enable easy access to banking services to all consumers.
In this role, you will:
Build and deliver a comprehensive machine learning roadmap across bank customer life cycle from account opening to account management that enables customer base growth and faster access to money while preventing fraudulent activity
Partner with senior leaders and partner teams in problem framing and conception of ideas, develop consensus and execute on the machine learning agenda
Lead a data science team and build machine learning models through all phases of development, from design, testing, data gathering, training, evaluation, validation, and implementation
Partner with a cross-functional team of product managers, software engineers, and business analysts to launch machine learning solutions into production
Actively identify and manage model risks in line with model risk management policies
Identify, evaluate, and deploy new algorithms, data strategies, testing strategy, and implementation capabilities to drive continuous innovation
Lead, recruit, and grow a team of data scientists to achieve their professional goals
The Ideal Candidate is:
A Leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond
Achiever. You at ease in a fast pace environment defending against fraud and are driven for action and get things done
Experienced. You’ve built machine learning models over TB scale data, validated them, back tested them and know what it takes to launch them in a real-time production environment
Team oriented: You excel at partnering with cross functional teams to champion the field of data science achieve collective goals
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 5 years of experience in data analytics
At least 4 years of experience in open source programming languages for large scale data analysis
At least 4 years of experience with machine learning
At least 4 years of experience with relational databases
PhD in Computer Science (Machine Learning, Statistics, Math or equivalent) plus 5 years of experience in data analytics
At least 3 year of experience working with AWS
At least 3 year of experience managing people
At least 5 years of experience in Python, Scala, or R for large scale data analysis
At least 10 years of experience applying machine learning to solve complex problems for large scale applications
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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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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).
Who We Are
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.