Senior Manager, Data Scientist - Travel Intelligence

Senior Manager, Data Scientist - Travel Intelligence, Hotels 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 will be part of a team that’s leading the next wave of disruption at a 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 financial pain. Team Description You will be a member of the Travel Intelligence team, a high‑impact group dedicated to building the "intelligent core" of Capital One Travel. Our mission is to transform vast amounts of travel data into personalized, seamless experiences for our customers. Specifically, this role focuses on the Hotels domain, where you will own the end‑to‑end technical strategy for Search & Sort and Pricing Optimization and move from offline, historical data models to sophisticated, real‑time Machine Learning solutions. In this role you will partner closely with Product and Engineering to define key metrics such as MOB and Reference Price coverage and architect systems that determine what customers see and pay. This is an opportunity to apply the 80:20 rule—starting with high‑impact wins while building the business case and technical roadmap for the future of ML at Capital One Travel. Role Description Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver products customers love. Use a broad stack of technologies—including Python, Conda, AWS, H2O, and Spark—to extract insights from large volumes of numeric and textual data. Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation. Translate the technical complexity of your work into tangible business goals and communicate them effectively to stakeholders. Ideal Candidate Customer‑first mindset: you love analysis and creation but prioritize making the right decision for our customers. Creative problem‑solver: you define big, undefined problems, ask questions, and push to find answers, sharing new ideas openly. Technical expert: comfortable with open‑source languages, passionate about further development, and experienced building data science solutions using open‑source tools and cloud platforms. Data guru: adept at retrieving, combining, and analyzing data from varied sources and structures, recognizing that understanding the data is key to great data science. Basic Qualifications Currently has, or is in the process of obtaining one of the following degrees with an expectation of obtaining it on or before the start date: Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus seven years of data analytics experience. Master’s Degree in a quantitative field or MBA with a quantitative concentration plus five years of data analytics experience. PhD in a quantitative field plus two years of data analytics experience. At least two years of experience leveraging open‑source programming languages for large‑scale data analysis. At least two years of experience working with machine learning. At least two years of experience using relational databases. Preferred Qualifications PhD in a STEM field (Science, Technology, Engineering, Mathematics) plus four years of experience in data analytics. At least one year of experience with AWS. At least five years of experience in Python, Scala, or R for large‑scale data analysis. At least five years of experience with machine learning. Compensation and Benefits Salary ranges vary by location: McLean, VA – $229,900 to $262,400; New York, NY – $250,800 to $286,200. Performance‑based incentives, including cash bonuses and/or long‑term incentives, may be available. Comprehensive benefits covering health, financial, and other areas to support total well‑being. EEO Statement Capital One is an equal opportunity employer, committed to non‑discrimination in compliance with applicable federal, state, and local laws. We promote a drug‑free workplace and consider qualified applicants with a criminal history as consistent with lawful background‑inquiry requirements. Legal Notice Capital One does not provide, endorse, or guarantee third‑party products or services. Positions posted in Canada, the United Kingdom, or the Philippines are for the respective regional entities. #J-18808-Ljbffr Information Technology Senior Management Forum