McLean 1 (19050), 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. Manager, 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. 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 distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. On any given day you ll be: - Working within a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love - Owning a broad stack of technologies Python, conda, AWS, and CI/CD frameworks to translate customer needs large and small into tangible features - Learning first-hand about the sophisticated suite of machine learning models which form the foundation of Capital One s business - Having a transformative impact on the deployment of new modeling techniques and their path to deliver value The Ideal Candidate will be: - A Python wizard. Your interests go beyond simply writing code. You get excited about big picture design, style standards, and test cases. - A wrangler of big code bases. You ve developed within a large code base and know how to balance your learning between small details and the big picture to be effective quickly. - Customer first. You love the process of creating, but at the end of the day, you know it s all about making the right decision for our customers. - Interested in learning more data science. You know how to build a good model, maybe you learned in school or taught yourself, but you re hankering to do data science in the big leagues. 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. Basic Qualifications: -Bachelor s Degree plus 4 years of experience in data analytics, or Master s Degree plus 2 years of experience in data analytics, or PhD -At least 2 years experience in open source programming languages for large scale data analysis -At least 2 years experience with relational databases -At least 2 years experience with machine learning Preferred Qualifications: -PhD in STEM field (Science, Technology, Engineering, or Mathematics) -At least 4 years experience in Python -At least 2 years experience working with AWS -At least 2 years experience with machine learning 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 4; 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- or via email at. 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. 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).