Senior Manager Data Scientist
AI summary of the role
Lead a team of 4-5 data scientists building next-generation machine learning models for credit decisioning in the Mainstreet Acquisitions team.
What you’ll do
- 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 interpersonal skills to translate the complexity of your work into tangible business goals
What you’ll bring
- Bachelor's in quantitative field + 7 years data analytics, or Master's + 5 years, or PhD + 2 years
- At least 2 years experience leveraging open source programming languages for large scale data analysis
- At least 2 years experience working with machine learning
- At least 2 years experience utilizing relational databases
Technologies
Python · Conda · AWS · H2O · Spark · Scala · R · relational databases · machine learning · deep learning
Source and classification
Internal deployment & tooling · Evidence for this classification:
Intelligence Segments organization builds industry-leading machine learning models that empower core underwriting decisions. We collaborate closely with a wide range of cross-functional partner teams - data engineers, platform engineers, product managers, credit, and business analysts - to deliver solutions from ideation to implementation. The Mainstreet Acquisitions team focuses on acquisitions and retention growth through next level personalization and enhanced decisioning. The associate is responsible for leading a team of 4-5 associates to build the next generation of machine learning models used for credit decisioning. These models will be used for critical business decisions, such as card application approve/decline, product optimization, customer valuation, and more. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software
More from the job description
Senior Manager Data Scientist Senior Manager, Data Science - Mainstreet Acquisitions 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 US Card Intelligence Segments organization builds industry-leading machine learning models that empower core underwriting decisions. We collaborate closely with a wide range of cross-functional partner teams - data engineers, platform engineers, product managers, credit, and business analysts - to deliver solutions from ideation to implementation. The Mainstreet Acquisitions team focuses on acquisitions and retention growth through next level personalization and enhanced decisioning. The associate is responsible fo [... source excerpt omitted ...] of machine learning models used for credit decisioning. These models will be used for critical business decisions, such as card application approve/decline, product optimization, customer valuation, and more. 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 implementatio [... source excerpt omitted ...] You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. 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 7 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathemati
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