Senior Manager, Data Science - AI Foundations, Specialist Models

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 7 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 5 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 2 years of experience performing data analytics
• At least 2 years of experience leveraging open source programming languages for large scale data analysis
• At least 2 years of experience working with machine learning
• At least 2 years of experience utilizing relational databases
• PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
• Experience working with AWS
• At least 5 years' experience in Python, Scala, or R
• At least 5 years' e

Additional Information

Senior Manager, Data Science - AI Foundations, Specialist Models 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 Entity Resolution Systems team builds and ships state of the art machine learning solutions to support entity resolution within the enterprise. A core capability that powers a wide range of use cases spanning from marketing to customer servicing, our work has immediate impact across multiple lines of business. We partner with product, tech and design teams to deliver personalized experiences to our data and platform users to drive productivity and innovation. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging ML technologies and turbo-charged thru agentic software development practices. We are building a modern, extensible entity resolution stack that leverages the latest developments in deep learning and transformer architectures, graph approaches. On this team, team members apply the latest research and methodologies to real-world problems and deliver solutions at scale for our 100M+ customers. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to build a next-generation entity resolution solution that leverages cutting-edge machine learning approaches to solve real-world business problems Leverage a broad stack of technologies - Python, AWS, Spark, modern state of the art models like transformers, graph ML, 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 Leverage Agentic AI tools and workflows to build and test Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. 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 developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and back tested 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. A data guru. "Big data" doesn't faze you. 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.

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