Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website.
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)Īt least 1 year of experience working with AWSĪt least 1 year of experience building large scale, real-time Search and Recommendation algorithmsĪt least 3 years’ experience in Python, Scala, or RĪt least 3 years’ experience with machine learningĬapital One will consider sponsoring a new qualified applicant for employment authorization for this position.Ĭapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. You have theoretical and practical experience with Information Retrieval, Recommender System, Search Ranking, Large-scale, Real-time machine learning systems.Ĭurrently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start dateĪt least 1 year of experience in open source programming languages for large scale data analysisĪt least 1 year of experience with machine learningĪt least 1 year of experience with relational databases You know how to interpret a confusion matrix or a ROC curve. You’ve built models, validated them, and backtested them. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You’re comfortable with open-source languages and are passionate about developing further. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. You continually research and evaluate emerging technologies. You know at the end of the day it’s about making the right decision for our customers. You love the process of analyzing and creating, but also share our passion to do the right thing. Regularly communicate and influence stakeholders with a diverse backgroundĬustomer first. Work cross functionally with a high caliber team consists of product managers, engineers, and user researchers to ship new AI-powered features into production Work backwards from user needs to build and productionalize the underlying algorithms for our large-scale Search and Recommendation system that drive massive user and business metrics improvementĬonduct cutting-edge, value-driven research to explore the frontier of the Search and Recommendation You will have the chance to leverage your knowledge and experience from Information Retrieval, Deep Learning, Natual Language Processing, Large Language Models, Ranking, and Recommender Systems and work with high caliber, cross functional teams consisting of Product Managers, Engineers, Analysts and User Researchers to build large-scale, real-time distributed machine learning systems that power the Search and Recommendation experience for a truly iconic personalized experience. All of that begins with a deep understanding of user search query, past interactions and products in our catalog which we can use to find relevant search and recommendation results.
The Search and Recommendation Data Science team is on a multiple year journey to reimagine the experience for the car shopping marketplace (shoppers and dealers) starting with a strong understanding of the customers needs and building an iconic experience that is engaging and meaningful. 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.Īs 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. Principal Associate, Data Science - Search and Recommendationĭata is at the center of everything we do. Plano 7 (31067), United States of America, Plano, Texas