Manager, Data Scientist - US Card (Resiliency Intelligence)
About The Position
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 Resiliency Intelligence team builds the machine learning models that help our customers regain financial stability and drive business value through personalized solutions at scale. This mission is critical for supporting customers facing financial hardship, ensuring they have the personalized resources needed to resolve outstanding balances and reclaim their financial health. To accomplish this, we leverage supervised and reinforcement learning to predict customer needs and recommend optimal solutions. We develop custom Python libraries and utilize a tech stack featuring XGBoost, scikit-learn, and statsmodels. Our models define treatments for millions of customers daily, with your code running across both analytical and production environments. Our machine learning solutions are a key value generator, meaningfully impacting the income of the US Card business. Join our growing team as we innovate new ways to use data and technology to unlock opportunities that help everyday people improve their financial lives.
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 6 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 4 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) plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
Nice To Haves
- 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 4 years’ experience in Python, Scala, or R for large scale data analysis
- At least 4 years’ experience with machine learning
- At least 4 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
