Principal Data Scientist

About This Role

Working with data is at the center of this role. As a Data Scientist, you will be part of a team leading the next wave of disruption using the latest computing and machine learning technologies across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives. The Mainstreet Customer Management Data Science team builds machine learning models that empower various customer management decisions for existing customers.

Responsibilities

• 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 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

Requirements

• 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 performing 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 performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Nice to have:

• Master’s Degree or PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• 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

Benefits

• Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Important Details

• Application acceptance for a minimum of 5 business days
• Visa sponsorship considered for new qualified applicants
• Locations:
  • McLean, VA
  • Richmond, VA
  • New York, NY

About the Company

Capital One disrupted the credit card industry by individually personalizing every credit card offer, using statistical modeling and the relational database. This innovation has led the company to become a Fortune 200 company and a leader in data-driven decision-making.