Principal Associate, Data Scientist - US Card DFS Acquisitions
About The Position
Capital One, a Fortune 200 company and a leader in data-driven decision-making, is seeking a Principal Associate, Data Scientist. The company pioneered personalized credit card offers using statistical modeling and relational databases in 1988 and continues to innovate with computing and machine learning technologies across billions of customer records. The US Card DFS Acquisitions Integration Data Science team is responsible for building industry-leading machine learning models to support core underwriting decisions for new credit card customer acquisitions. This involves meeting model risk standards, enabling model use in acquisition policies, scaling volume with key DFS insights, and building/refitting models combining Capital One and Discover populations. The team collaborates with data engineers, platform engineers, product managers, credit, and business analysts, owning the full lifecycle of models from development to deployment, monitoring, governance, and ongoing usage expansion. They are also committed to continuous innovation to make models more dynamic, adaptive, robust, and smarter.
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 Haves
- 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
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 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
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Number of Employees
5,001-10,000 employees
