Senior Associate, Data Scientist - Business Cards & Payments Credit Infrastructure Team
AI summary of the role
Develop credit card acquisitions valuations models and tooling for Capital One's Business Cards & Payments organization.
What you’ll do
- Partner with data scientists, engineers, product managers to deliver customer-loved products
- Leverage Python, Conda, AWS, H2O, Spark to analyze massive numeric/textual data
- Build ML models through design, training, evaluation, validation, implementation
- Translate technical work into tangible business goals
What you’ll bring
- Bachelor's in quantitative field + 2 years data analytics or Master's/MBA quantitative
- Hands-on experience developing data science solutions with open-source tools and cloud
- Experience building, validating, backtesting models (clustering, classification, time series)
- 2+ years Python/Scala/R and SQL (preferred)
Technologies
Python · Conda · AWS · H2O · Spark · SQL · Scala · R
Source and classification
Internal deployment & tooling · Evidence for this classification:
and Payments (BC&P) Credit Infrastructure Team owns the end-to-end development of valuations models, monitoring, advanced analytics and systemized tooling for the Business Cards and Payments (BCP) organization. We are hiring a Data Scientist on the credit card acquisitions valuations model development team to empower credit programs in BCP through robust valuations models and tools that support use of those models. 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
More from the job description
Senior Associate, Data Scientist - Business Cards & Payments Credit Infrastructure Team 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 Business Cards and Payments (BC&P) Credit Infrastructure Team owns the end-to-end development of valuations models, monitoring, advanced analytics and systemized tooling for the Business Cards and Payments (BCP) organization. We are hiring a Data Scientist on the credit card acquisitions valuations model development team to empower credit programs in BCP through robust valuations models and tools that support use of those models. In this role, you will: Partner with a cross-functional team of data scientists, s [... source excerpt omitted ...] raining, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. 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. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience dev [... source excerpt omitted ...] them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. 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 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathemati
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