Center 1 (19052), United States of America, McLean, VirginiaPrincipal Associate, Data Scientist - Customer Management

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:

The Mainstreet Customer Management Data Science team builds industry-leading machine learning models to empower various customer management decisions for our existing customers. We collaborate closely with a wide range of cross-functional partner teams including software engineers, managers, and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - infrastructure and model development, deployment, monitoring, and governance. This team has a primary goal of modernizing machine learning models, making them low-touch with minimal manual features to enhance user experience.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:

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.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.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.Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience in data analytics.A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience in data analytics.A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field).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) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics).At least 1 year of 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.

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