Principal Associate - Data Science, Python Developer
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. Center 1 (19052), United States of America, McLean, Virginia Principal Associate - Data Science, Python Developer 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. 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 and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: Our team is building key infrastructure to enable the data community in US Card to easily create, share, and reuse metrics critical to building models and making good credit decisions. We sit at the intersection of Python, SQL, and the business, with a heavy technical focus. Our product is in the early stages of development, with a small but highly-skilled team and growing adoption from users. We follow software engineering best practices with robust testing and automation, but also carefully design our products to have elegant and intuitive user experiences. Our core tech stack is Python, Snowflake, Conda, and Jenkins, and we also use Jupyter Notebooks and shell scripts. Role Description: You’ll be designing, writing, or reviewing code the majority of the time, but because the team is small and our products are still under heavy development you’ll also be able to have an important voice in our strategic direction. Success in this role looks like: One month: Initial onboarding completed, beginner understanding of the team’s vision and codebase, able to do small code reviews and contribute small well-defined features. Three months: intermediate understanding of our vision and codebase, regularly performing code reviews and adding medium-size features, providing user support. Six months: expert-level understanding of our codebase, able to add larger and less well-defined features. One year: expert-level understanding of our vision, influencing technical and product direction of the project. In this role, you will: Develop robust Python-based tools with an emphasis on technical design and code quality Engage with the data science, data analyst, and business analyst community to learn about their data challenges and translate those needs into new software capabilities Explore the cutting edge of metrics design, architecture, and testing Be on the ground floor of an emerging product, with many opportunities to define the direction and vision for the team The Ideal Candidate is: 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. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhD At least 1 year of experience in open source programming languages for large scale data analysis At least 1 year of experience with machine learning At least 1 year of experience with relational databases Preferred Qualifications: At least 3 years’ experience in Python At least 2 years’ experience with SQL At least 1 years’ experience building business metrics from tabular data Any prior experience building software tools for other people to use 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 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).