Center 1 (19052), United States of America, McLean, Virginia

　　Senior Associate Data Scientist - Small Business Bank

　　Senior Associate, Data Scientist - SBB

　　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

　　In Small Business Banking (SBB), we put ourselves in the shoes of our small business owners to understand their needs and help them succeed. The SBB Data Science team has a relentless focus on the craft of data sciences spanning statistics, machine learning and distributed computing domains. We develop innovative solutions that help our business partners design and deliver products and policies that meet small businesses’ needs and expectations in financial services. You will work with cross functional teams including business analysts, product and engineers to identify and enable intelligent decisions leveraging a broad stack of cloud-based open-sourced ML technologies.

　　In this role, you will help our small business lending team to set up a scalable growth model through machine learning models and decision automation. You will partner with underwriters, product, and business analysts to build effective solutions.

　　Role Description

　　In this role, you will:

　　Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

　　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

　　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.

　　Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

　　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 2 years of experience in data analytics, or Master’s Degree, 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:

　　Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

　　Experience working with AWS

　　At least 2 years’ experience in Python, Scala, or R

　　At least 2 years’ experience with machine learning

　　At least 2 years’ experience with SQL

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

　　Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

　　This role is expected to accept applications for a minimum of 5 business days.

　　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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 [email protected] . 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 [email protected]

　　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).