Capital One-posted 3 months ago
$225,400 - $257,200/Yr
Full-time • Senior
McLean, VA

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. The Commercial Bank Data Science team is at the forefront of enabling Machine Learning and Generative AI capabilities within the Commercial Bank. We focus on cutting-edge AI techniques and technologies applied to Commercial Banking use cases. We work end to end from concept to production heavily focused on experimentation, predictive modeling and generative AI.

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver high impact AI infused transformations to the Commercial Bank
  • Leverage a broad stack of technologies — Python, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning and generative AI solutions through all phases of development, from design through training, evaluation, validation, and implementation
  • Mine for real time insights hidden in large internal and external datasets to help Capital One and our customers make crucial business decisions
  • Translate the complexity of your work into tangible business goals
  • A Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics
  • A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
  • A PhD in a quantitative field plus 2 years of experience performing data analytics
  • At least 2 years of experience leveraging open source programming languages for large scale data analysis
  • At least 2 years of experience working with machine learning
  • At least 2 years of experience utilizing relational databases
  • Masters / PhD in STEM field plus 4 years of experience in data science / AI in Finance or Banking
  • At least 1 year of experience working with AWS
  • At least 1 year of experience managing people
  • At least 5 years’ experience in Python, Scala, or R for large scale data analysis
  • At least 5 years’ experience with machine learning
  • Comprehensive health benefits
  • Financial benefits including performance-based incentives
  • Inclusive set of benefits that support total well-being
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