Capital One Financial Corporation is a bank holding company specializing in credit cards, auto loans, banking and savings products headquartered in McLean, Virginia.Capital One is the eighth-largest commercial bank in the United States when ranked by assets and deposits and is ranked 10th on the list of largest banks in the United States by total assets. The bank has 755 branches including 18 cafe style locations and 2,000 ATMs. It is ranked #100 on the Fortune 500, #17 on Fortune's 100 Best Companies to work for list, and conducts business in the United States, Canada, and the United Kingdom. The company helped pioneer the mass marketing of credit cards in the 1990s, and it is one of the largest customers of the United States Postal Service due to its direct mail credit card solicitations.
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.. Principal Data Scientist. Principal Data Scientist, Enterprise Customer. 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.. Team Description. Enterprise Customer is responsible for building the systems that manage the most important data elements about all of Capital One's customers. Enterprise Customer's systems ensure that this data is accurate and well-managed, that our Digital products work together seamlessly, and that Capital One customers can safely and securely connect to external Fintech applications.. Role Description. As a data scientist on the Enterprise Customer team, you will develop the core entity resolution models within our enterprise customer data management platform.. Work in all phases of the model lifecycle, from definition, training and testing, to deployment and monitoring. Work with the Model Risk Office and other internal stakeholders to ensure model accuracy, robustness and compliance. Work with engineering partners to deliver models to production and ensure their scalability, performance and resiliency. On any given day you'll be:. Using Big Data tools (Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records. Writing software to clean and investigate large, messy data sets of numerical and textual data. Integrating with external data sources and APIs to discover interesting trends. Building machine learning models from development through testing and validation to our 30+ million customers in production. Designing rich data visualizations to communicate complex ideas to customers or company leaders. Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow. The Ideal Candidate will be:. Curious. You ask why, you explore, you're not afraid to blurt out your disruptive idea. You probably know Python, Scala, or R and you're constantly exploring new open source tools.. Wrangler. You know how to programmatically extract data from a database and an API, bring it through a transformation or two, and model it into human-readable form (ROC curve, map, d3 visualization, Tableau, etc.).. Creative. Big, undefined problems and petabytes of data don't frighten you. You're used to working with abstract data, and you love discovering new narratives in unmined territories.. Basic Qualifications:. Bachelor's Degree plus 2 years of experience in data analytics, or Master's Degree plus 1 year of experience 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:. Master's Degree in \"STEM\" field (Science, Technology, Engineering, and Mathematics) plus 1 year of experience in data analytics, or PhD in \"STEM\" field (Science, Technology, Engineering, and Mathematics). At least 1 year experience working with AWS. At least 3 years' experience in Python, Scala, or R. At least 3 years' experience with machine learning. At least 3 years' experience with SQL. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.. At Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. ...
Associated topics: data administrator, data architect, data center, data integration, data quality, data scientist, data warehouse, etl, erp, hbase