Manager, Data Scientist, Travel Intelligence, Hotels
AI summary of the role
Lead data science for the Hotels domain within Capital One Travel's Travel Intelligence team, owning the end-to-end technical strategy for Search & Sort and Pricing Optimization.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own end-to-end technical strategy for Search & Sort and Pricing Optimization in the Hotels domain
- Partner with cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage Python, Conda, AWS, H2O, Spark to reveal insights from huge volumes of numeric and textual data
- Build machine learning models through all phases from design through training, evaluation, validation, and implementation
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 · Scala · R · relational databases · machine learning
About Capital One
US consumer bank and largest credit card issuer; cloud-native operator running credit cards, auto loans, retail banking, and now the Discover network on AWS.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. We operate in a "green-field" environment, moving from offline, historical data models to sophisticated, real-time Machine Learning solutions. As part of Travel Intelligence, you won't just be building models; you'll be partnering closely with Product and Engineering to define key metrics (like MOB and Reference Price coverage) and architecting the systems that determine what our customers see and what they pay. This is a unique opportunity to apply the 80:20 rule—starting with pragmatic, high-impact wins while simultaneously building the
More from the job description
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’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 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. We operate in a "green-field" environment, moving from offline, historical data models to sophisticated, real-time Machine Learning solutions. As par [... source excerpt omitted ...] odels; you'll be partnering closely with Product and Engineering to define key metrics (like MOB and Reference Price coverage) and architecting the systems that determine what our customers see and what they pay. This is a unique opportunity to apply the 80:20 rule—starting with pragmatic, high-impact wins while simultaneously building the business case and technical roadmap for the future of ML at Capital One Travel. 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 [... source excerpt omitted ...] raining, 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, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. 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 dev
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