Manager, Data Scientist - Alternative Data Strategy
AI summary of the role
Lead data science on the Alternative Data Strategy team at Capital One, focusing on evaluating and integrating new data sources for underwriting and decisioning across US Card.
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 + 6 years data analytics, or Master's + 4 years, or PhD + 1 year
- At least 1 year experience leveraging open source programming languages for large scale data analysis
- At least 1 year experience working with machine learning
- At least 1 year experience utilizing relational databases
Technologies
Python · Conda · AWS · H2O · Spark · SQL · R · Scala · machine learning · relational databases
Source and classification
Internal deployment & tooling · Evidence for this classification:
innovative data for underwriting and decisioning. This role in the Alternative Data Strategy team, focuses on developing innovative and reliable solutions for evaluating alternative datasets, engineering features, ensuring data integrity, and enabling impact. The scope includes feature engineering, designing scalable systems for data processing and monitoring, and building challenger models to enhance existing ones across US Card using new data and involves cross-functional collaboration and various learning opportunities. 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
More from the job description
Manager, Data Scientist - Alternative Data Strategy 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 Alternate Data Strategy team works on bringing new innovative data for underwriting and decisioning. This role in the Alternative Data Strategy team, focuses on developing innovative and reliable solutions for evaluating alternative datasets, engineering features, ensuring data integrity, and enabling impact. The scope includes feature engineering, designing scalable systems for data processing and monitoring, and building challenger models to enhance existing ones across US Card using new data and involves cross-functional collaboration and vario [... source excerpt omitted ...] g opportunities. 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 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, [... 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 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathemati
Employer postings · Data from · Sources